Generative AI Jobs in Nashville.
All active Generative AI roles based in Nashville.
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Staff Technical Program Manager
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MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
As a Staff Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and even Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.
We are looking to speak to candidates who are based in Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, Miami, Nashville, New York City, Philadelphia, Raleigh, Washington DC, Tysons for our hybrid working model.
Position Expectations
- Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
- Recognize patterns in a sea of information and take action accordingly
- Develop a strategic approach to program management that balances agility and process. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
- Build strategic partnerships with Product, Design, and Engineering stakeholders
- Expand knowledge into new domains as called upon
- Act as a mentor to junior TPMs and lead by example
- Embody MongoDB's core values and leadership principles
The right candidate for this role will be
- Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs
- Experienced with 5+ years of Software development background
- Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
- Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
- Skilled at communicating across a diverse set of engineers and stakeholders
- Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
- Hyper-organized and capable of coordinating across multiple independent work streams and organizations
- A role model for effective execution practices, driven by an attuned sense of priority and urgency
- Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
- Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
- Familiar with MongoDB or a comparable technology
Nice to have!
- Exposed to generative AI and Machine Learning
- Interested in business automation work such as scripting in Python, Google Apps Script and Slack
- Familiar with tools and methodologies for code analysis, refactoring, and automated testing
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
REQ ID: 2263203305
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
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Senior Machine Learning Engineer
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Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Inovalon is a leading cloud-based healthcare technology company that leverages data analytics and AI to drive meaningful improvements across the healthcare ecosystem. The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves as Inovalon’s central AI and machine learning hub. This team partners with Provider, Payer, and Pharmacy business units to identify, build, and deploy AI solutions that improve clinical and operational outcomes at scale.
In this role, you will contribute to both classical machine learning and generative AI applications, including LLM-based and agentic solutions. You will work across the full model development lifecycle on a modern, cloud-native AWS stack, collaborating closely with AI Product Managers and a distributed team of senior engineers across the U.S. and India.
Key Responsibilities
- Design, train, and deploy machine learning models spanning classical ML (classification, regression, clustering, time-series) and generative AI use cases including LLM-based and agentic applications.
- Build and maintain cloud-native solutions on AWS using containerized architectures (Docker, Kubernetes) to support scalable model serving and data pipelines.
- Own and contribute to the full Model Development Lifecycle (MDLC), including dataset versioning, model versioning, model registry management, and model evaluation frameworks.
- Develop and integrate Python-based ML components that work seamlessly with existing product platforms across multiple business units.
- Collaborate with AI Product Managers across the Insights BU and partner business units (Provider, Payer, Pharmacy) to translate business needs into AI solutions.
- Apply neural networks and deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based classical approaches.
- Write robust, production-ready code following engineering best practices; participate in code and design reviews.
- Leverage AI coding tools (such as Claude Code or equivalent) as part of your daily development workflow to improve velocity and code quality.
- Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling, and architecture decisions.
- Support integration of frontend components into ML-powered features where applicable.
- Contribute to retrospectives and team process improvements; actively participate in sprint planning and end-of-iteration demos.
- Adhere to all HIPAA, data governance, confidentiality, and regulatory requirements in all aspects of work.
- Maintain compliance with Inovalon’s policies, procedures, and mission statement, fulfilling responsibilities that support operational and financial success.
Qualifications
Required
- Minimum 5 years of software development experience with a strong foundation in machine learning fundamentals and model training.
- Expert-level Python proficiency; Python is the team’s primary language and is the highest-priority technical requirement.
- Hands-on experience building and deploying classical ML models in production using scikit-learn.
- Demonstrated experience with generative AI, LLMs, or agentic application development.
- Proficiency with PyTorch and neural network architectures.
- Practical knowledge of the Model Development Lifecycle (MDLC): dataset versioning, model versioning, model registry, and model evaluation.
- AWS cloud experience, including deploying and managing cloud-native workloads.
- Containerization experience with Docker and/or Kubernetes.
- Strong problem-solving ability; demonstrated capacity to work independently and take ownership of complex technical challenges.
- Daily usage of AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, or similar) as part of standard development workflow.
Preferred
- Experience with database technologies (SQL or NoSQL); familiarity with data pipeline tooling.
- Frontend development skills to support full-stack ML feature work.
- Healthcare domain experience or exposure to HIPAA-regulated environments.
Education
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related technical field required.
- Master’s degree or PhD in Computer Science, Machine Learning, or equivalent practical experience preferred.
Physical Demands and Work Environment
- Sedentary work (i.e., sitting for long periods of time).
- Exerting up to 10 pounds of force occasionally and/or a negligible amount of force.
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally, usually for training purposes.
Inovalon Offers a Competitive Salary and Benefits Package
In addition to the base compensation, this position may be eligible for performance-based incentives.
The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That’s why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
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