Primary Job Duties & Responsibilities

Organizational & Technical Leadership

• Build, lead, mentor, and develop a high-performing team of AI and software engineers while fostering a culture of innovation, accountability, and continuous learning.

• Establish the technical vision, engineering standards, and architectural roadmap for enterprise AI platforms and solutions.

• Serve as the senior technical leader for AI initiatives, providing architectural guidance, conducting design reviews, and driving key engineering decisions.

• Coach and develop engineers in system design, software engineering best practices, operational excellence, and professional growth.

• Partner with executive leadership to align AI investments, technology strategy, and delivery priorities with business objectives.

AI Strategy, Architecture & Delivery

• Define and execute the strategy for enterprise AI, Generative AI, Agentic AI, and intelligent automation initiatives.

• Lead end-to-end solution delivery across the software development lifecycle, ensuring solutions meet business, performance, scalability, reliability, security, and cost objectives.

• Evaluate emerging AI technologies, platforms, and industry trends, recommending adoption strategies and architectural standards.

• Lead production support, incident response, and operational risk management for critical AI platforms and applications.

Cloud, AI & Platform Engineering

• Provide technical leadership for cloud-native AI platforms and applications across AWS, GCP, and enterprise ecosystems.

• Guide engineering teams in the design and implementation of: LLM and Generative AI solutions Retrieval-Augmented Generation (RAG) architectures Agentic AI and workflow orchestration platforms Serverless and event-driven architectures APIs, microservices, and platform services AI observability, evaluation, and monitoring frameworks

• Establish reusable engineering patterns, frameworks, and platform accelerators that improve scalability, reliability, and delivery velocity.

Responsible AI, Security & Governance

• Ensure AI solutions align with Responsible AI principles, enterprise technology standards, security controls, and regulatory requirements.

• Partner with security, privacy, legal, compliance, and risk teams to establish governance frameworks for AI development and deployment.

• Promote best practices for model evaluation, explainability, auditability, data protection, and operational risk management.

Cross-Functional Leadership

• Partner with product, engineering, data, security, compliance, and business stakeholders to define roadmaps and prioritize initiatives.

• Communicate complex technical concepts effectively to executive leadership, technical teams, and business partners.

• Serve as a trusted advisor and thought leader on enterprise AI strategy and adoption.

Technical Expertise

The successful candidate must possess demonstrated experience designing, delivering, and leading teams responsible for the following technologies and capabilities:

AI & Cloud Engineering

• Enterprise AI platforms including AWS Bedrock, GCP Vertex AI, Azure AI, or equivalent technologies.

• Cloud-native architectures leveraging serverless, event-driven, microservices, and API-based design patterns.

Agentic AI & Intelligent Automation

• Agentic AI frameworks including Bedrock Agents, Vertex AI Agent Builder, LangGraph, LangChain, LlamaIndex, Copilot Studio, and Power Automate.

• Multi-agent systems, workflow orchestration, tool integration, reasoning, and autonomous task execution.

Retrieval-Augmented Generation (RAG)

• Enterprise RAG architectures, knowledge retrieval systems, vector search platforms, document ingestion pipelines, and enterprise data integration.

• Vector database technologies including OpenSearch, Pinecone, pgvector, FAISS, Milvus, or equivalent platforms.

AI Operations & Platform Engineering

• Model evaluation, fine-tuning, deployment, monitoring, observability, and optimization.

• AI platform scalability, governance, cost optimization, latency management, and operational excellence.

Responsible AI & Compliance

• Responsible AI governance, model documentation, risk management, validation, and auditability.

• Secure AI solution design aligned with healthcare, privacy, security, and regulatory requirements, including HIPAA.

Required Qualifications

• 7+ years of software engineering, platform engineering, machine learning, or AI engineering experience.

• 2+ years leading engineering teams or architecture initiatives, serving as a technical lead, solution architect, principal engineer, or engineering manager for enterprise-scale platforms.

• Proven experience designing, building, and operating cloud-native applications on AWS and/or GCP.

• Experience delivering production AI solutions, including Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) platforms.

• Strong understanding of distributed systems, APIs, microservices, event-driven architectures, and modern software engineering practices.

• Experience partnering within a product operating model to define technology roadmaps and deliver business outcomes.

• Exceptional communication, mentorship, and technical leadership skills with the ability to influence both technical and executive audiences.

Preferred Qualifications

• Experience operating within Agile, Scrum, and/or SAFe delivery frameworks in large enterprise environments.

• Health Care Industry experience preferred.

Education
Bachelor’s Degree in Computer Science or a related field, or equivalent experience.