Generative AI Jobs in Chennai.
All active Generative AI roles based in Chennai.
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Gen AI Architect
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Job Overview:
We are seeking a Senior AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in enterprise environments
Key Responsibilities:
- Lead RFP/RFI responses with strong technical and business narratives.
- Design solution proposals, demos, and workshops with sales teams.
- Build sales assets such as whitepapers, PoV decks, and blueprints.
- Engage C-suite leaders to evangelize AI/GenAI solutions.
- Define end-to-end AI/GenAI architectures (RAG, multi-agent, pipelines, governance, observability).
- Translate business needs into scalable, secure, and compliant AI solutions.
- Ensure smooth design-to-delivery with engineering teams.
- Establish frameworks for AI governance and responsible AI.
- Mentor architects, data scientists, and engineers.
- Drive knowledge sharing through playbooks, accelerators, and best practices.
- Collaborate with cloud, data, security, and domain SMEs for integrated solutions.
Key Skills
- 10+ years of experience in solution architecture, AI/ML, or data platforms, with at least 3–5 years in AI/GenAI initiatives.
- Demonstrated pre-sales experience: RFP responses, PoVs, workshops, and deal support.
- Strong portfolio of sales/marketing assets (whitepapers, solution blueprints, reference architectures).
- Hands-on expertise with AI/GenAI stacks (e.g., LangChain/LangGraph, CrewAI, OpenAI, Anthropic, Azure AI, AWS Bedrock, Databricks).
- Understanding of AI governance and compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001, Microsoft RAI Maturity Model).
- Proven team leadership experience, including mentoring and managing architects/engineers.
- Excellent communication, presentation, and client-facing skills.
Ready to apply?
Apply to Orion Innovation Naukri
Gen AI Lead
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Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Role: GenAI Lead Engineer
Experience: 8+ years total (with significant hands-on GenAI / LLM work)
Job Overview:
We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.
Key Responsibilities:
- Technical Leadership:
- Lead the end-to-end design and implementation of Generative AI solutions.
- Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
- Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
- Solution Development:
- Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
- Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
- Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
- Ensure scalability, performance, and security of AI solutions deployed in production.
- Integration and Deployment:
- API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
- Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
- Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
- Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
- Data Strategy and Preparation:
- Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
- Implement data governance and privacy practices in line with organizational policies.
- Innovation and Research:
- Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
- Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
- Stakeholder Collaboration:
- Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
- Present technical concepts, project progress, and AI capabilities to non-technical audiences.
Key Requirements
- Technical Skills:
- Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
- Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
- Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
- Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
- Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
- Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
- Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
- Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
- 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
- Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
- Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
- Proven track record of leading AI projects from inception to production.
- Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
- Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
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Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
Ready to apply?
Apply to Orion Innovation
Lead Developer [Full stack + AI]
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Lead Developers act as the primary point of contact for our clients, ensuring that teams are successful in their delivery. In this role, you will bring a strategic mindset to projects and spend time collaborating and negotiating with clients to bring a technical vision to life. Having a balance of high-level and tactical mindsets is a must, as you will spend time both with clients and your teammates.
At Thoughtworks, we believe in going above and beyond the standard and are committed to delivering best-in-class solutions that exceed our clients' expectations. Our standard engineering and delivery practices reflect our commitment to quality, and our team is always looking to innovate and improve. Lead Developers guide and coach their teams in their implementation and application.
Job responsibilities
- You will champion and adopt best practices like writing clean and reusable code using TDD, pair programming and design patterns
- You will oversee or take part in the entire cycle of software consulting and delivery from ideation to evolution in production and everything in between
- You will use and advocate for continuous delivery practices to deliver high-quality software as well as value to end customers as early as possible
- You will design solutions and choose technologies that solve clients’ problems while working within constraints and make pragmatic tradeoffs
- You will collaborate with a variety of teammates to build features, design concepts and interactive prototypes and ensure best practices and UX specifications are embedded along the wayYou will apply the latest technology thinking from our Technology Radar to solve client problems
- You will apply a variety of languages and tools to your work and continue to code alongside Developers; you will not be post-technical in this role
- You will efficiently utilize and champion DevSecOps tools and practices to build and deploy software, advocating devops culture and shifting security left in development
- You will cultivate Thoughtworker growth and development by encouraging feedback and fostering an inclusive, supportive team culture
Job qualifications
Technical Skills
- Should have 8+years of experience in designing and developing scalable, secure, and maintainable applications using Java, JavaScript, Python, or equivalent technologies.
- Design end‑to‑end Salesforce technical architecture across Sales Cloud.
- Define system integration patterns between Salesforce and external systems (REST/SOAP, middleware, ETL, APIs)
- Define and review Architecture Decision Records (ADR), ensuring alignment with performance, security, and business goals.
- Enforce engineering excellence through sensible defaults, clean coding standards, and proactive tech debt management.
- Review and optimize BigQuery SQL or equivalent data scripts for performance and scalability.
- Understanding of data processing, model inference, and MLOps best practices.
- Drive end-to-end delivery, ensuring alignment with SDLC processes, coding standards, and quality benchmarks.
- Manage sprint-level planning, estimation, and delivery tracking, proactively identifying risks and mitigation plans.
- Own technical reviews, release readiness, and deployment oversight for assigned projects.
- Lead teams following Agile and XP practices — pair programming, TDD, CI/CD, and continuous feedback.
- Collaborate across cross-functional teams (QA, DevOps, Product) to ensure smooth delivery.
- Foster a team-first culture, ensuring collaboration, transparency, and continuous improvement.
- Design and manage cloud-native deployments on AWS, GCP, or Azure.
- Ensure effective use of CI/CD tools (CircleCI, GitHub Actions, Jenkins, etc.) for automated, secure pipelines.
- Hands-on with Google Cloud Platform (GCP) — Pub/Sub, BigQuery, Cloud Functions, Cloud Run, Kubernetes, IAM.
- Experience with AI-First Software Delivery (AIFSD) — using LLMs, generative AI APIs, or AI-assisted coding.
- Exposure to microservices architecture, event-driven systems, or message queues (Kafka, Pub/Sub, RabbitMQ).
Professional Skills
- You have experience influencing others and always advocate for technical excellence while being open to change when needed
- You bridge product and technology by helping to translate business needs to software requirements
- You have the ability to develop and execute a technical vision with a focus on business value
- You will act as a mentor for less experienced peers through both your technical knowledge and ability to inspire a team to deliver extraordinary impact together
- You’re resilient in ambiguous situations and can approach challenges from multiple perspectives
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Onsite Work Expectation
You may be expected to work out of our Thoughtworks office or at our client's office location for all five working days of the week, depending on business or clients’ needs.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
Ready to apply?
Apply to Thoughtworks
About DevRev
At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
About the Role:
As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.
What You'll Do:
- Customer-facing: 30% working directly with customers.
- Coding & Integration: 70-80% hands-on technical implementation
- Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
- Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
- Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
- Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
- Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
- Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
- Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
- Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.
What You Bring:
- Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
- Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
- Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
- Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
- Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
- Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
- Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
- Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
- Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
- Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
- Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.
DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Ready to apply?
Apply to DevRev
Gen AI Lead
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Role: GenAI Lead Engineer
Experience: 8+ years total (with significant hands-on GenAI / LLM work)
Job Overview:
We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.
Key Responsibilities:
- Technical Leadership:
- Lead the end-to-end design and implementation of Generative AI solutions.
- Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
- Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
- Solution Development:
- Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
- Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
- Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
- Ensure scalability, performance, and security of AI solutions deployed in production.
- Integration and Deployment:
- API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
- Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
- Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
- Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
- Data Strategy and Preparation:
- Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
- Implement data governance and privacy practices in line with organizational policies.
- Innovation and Research:
- Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
- Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
- Stakeholder Collaboration:
- Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
- Present technical concepts, project progress, and AI capabilities to non-technical audiences.
Key Requirements
- Technical Skills:
- Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
- Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
- Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
- Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
- Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
- Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
- Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
- Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
- 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
- Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
- Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
- Proven track record of leading AI projects from inception to production.
- Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
- Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).
Ready to apply?
Apply to Orion Innovation NaukriWho we are:
Burson, part of WPP, is the global communications leader built to create value for clients through reputation. With highly specialized teams, industry-leading technologies and breakthrough creative, we help brands and businesses redefine reputation as a competitive advantage so they can lead today and into the future. When you work at Burson, you are part of a global community of lifelong learners who thrive at the edge of innovation.
WPP (LSE/NYSE: WPP) is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com
For more information visit bursonglobal.com and follow us on LinkedIn and Instagram.
More about the role:
Burson is looking for a Senior Public Relations Manager for our Chennai Location. The individual will join our client servicing team and work with the Pharma, Health & Wellness Practice. For this requirement we are looking for a senior manager with good understanding of the Healthcare sector. As a Senior Account Manager, you are expected to support day-to-day client activities and provide guidance to junior team members through ongoing counsel and effective delegation. You will contribute to Burson’s performance by managing client relationships and integrated communication (IC) programs, satisfying, and delighting clients, helping, generate new business and growing existing accounts. You are required to support our corporate strategy and your practice or office to help ensure superior client service, a winning culture and profitability.
What you'll do:
Client Service:
- Stay current on your clients’ businesses, industries and competitors and use your knowledge to develop comprehensive, strategic, and integrated communications programs that complement the client’s business objectives and deliver results.
- Responsible for client delight on a day-to-day level as the operations lead
- Act as a day-to-day client leader and maintain a clear and consistent communication channel between the client and the account team.
- Responsible for establishing trust, facilitating coordination, and identifying avenues for growth.
- Be actively involved and oversee quality implementation for one or a group of accounts within time and budget constraints.
- Manage client relationships and be the client’s key contact, counselor, and strategic thinker. You are always the first port of call for clients.
- Responsible for institutionalizing knowledge and are the catalysts for internal collaboration across practices & COEs.
- Timely Decision Making – The ability to identify a problem and find solutions. Make decisions in a timely manner, using available information and under tight deadlines.
- Have strong verbal and written communication skills including development of various types of materials such as Q&A, key messages, holding statements, press release etc.
- Responsible for quality check (especially as in integrator for human and AI work
- Be able to support the senior managers and leaders in resolving client issues.
- Maintain a strong rapport with journalists/bloggers/media members who cover your clients’ industries and businesses to optimize channels.
- Help develop media strategies, write pitch letters, and respond to media queries.
- Build efficiency within the team & focus on AI fluency within the team.
- Stay updated on social media channels, trends and analytical tools and make recommendations to strengthen our capabilities.
- Support the digital media strategy implementation.
- You must possess a strong familiarity with how Generative AI tools are used across communications programmes, especially in planning, research, ideation, content creation, and daily operations.
Experience that contributes to success:
- Graduation / post-graduation in Public Relations or Communication.
- Minimum 5+ years of work experience in public relations or the communications industry with at least two years leading a team.
- Looking for someone who has a good understanding of the healthcare sector.
You belong at Burson:
Our vision is for Burson to be the leading ‘academy company’ for creative communications professionals and emerging leaders. We provide a dynamic environment where ambitious colleagues come to elevate their skills, expand their networks, and ultimately, produce the best solutions for today’s leading brands. Our commitment to your growth is reflected in our robust benefits and people programs, which include professional development opportunities, mentorship programs with industry leaders, a vibrant and inclusive company culture fostering collaboration and innovation and packages designed to reward and retain top talent. We invest in our people because we believe their success is our success.
At Burson, we’re an agency of learn-it-alls. We recognize that the things we do best, creativity and communications, require a level of nuanced understanding. That’s why it’s imperative for us to hire extraordinarily talented people of all backgrounds and identities. Without that we can’t do the essential work of inspiring bold ideas, fostering constructive dialogue, cultivating meaningful experiences, and driving innovation and creativity for our partners. Your unique point of view—your talent—is what makes you a #BursonPerson, and it’s how we deliver exceptional results for our clients, together.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
When you click the "Submit Application" button below, this will send any information you add below to Burson. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
Ready to apply?
Apply to Burson