Senior Engineering Manager – AI & Data Engineering

Join us as we work to create a thriving ecosystem that delivers accessible, highquality, and sustainable healthcare for all.

Senior Engineering Manager – AI & Data Engineering

Position Summary

This position requires expertise in designing, developing, debugging, and maintaining AIpowered applications and data engineering workflows for both local and cloud environments. The role involves working on largescale projects, optimizing AIML pipelines, and ensuring scalable data infrastructure.

As a PMTS, you will be responsible for integrating Generative AI (GenAI) capabilities, building data pipelines for AI model training, and deploying scalable AIpowered microservices. You will collaborate with AIML, Data Engineering, DevOps, and Product teams to deliver impactful solutions that enhance our products and services.

Additionally, it would be desirable if the candidate has experience in retrievalaugmented generation (RAG), finetuning pretrained LLMs, AI model evaluation, data pipeline automation, and optimizing cloudbased AI deployments.

Responsibilities

AIPowered Software Development & API Integration

• Develop AIdriven applications, microservices, and automation workflows using FastAPI, Flask, or Django, ensuring cloudnative deployment and performance optimization.
• Integrate OpenAI APIs (GPT models, Embeddings, Function Calling) and RetrievalAugmented Generation (RAG) techniques to enhance AIpowered document retrieval, classification, and decisionmaking.

• Data Engineering & AI Model Performance Optimization

  • Design, build, and optimize scalable data pipelines for AIML workflows using Pandas, PySpark, and Dask, integrating data sources such as Kafka, AWS S3, Azure Data Lake, and Snowflake.
  • Enhance AI model inference efficiency by implementing vector retrieval using FAISS, Pinecone, or ChromaDB, and optimize API latency with tuning techniques (temperature, topk sampling, max tokens settings).

  • Microservices, APIs & Security

    • Develop scalable RESTful APIs for AI models and data services, ensuring integration with internal and external systems while securing API endpoints using OAuth, JWT, and API Key Authentication.
    • Implement AIpowered logging, observability, and monitoring to track data pipelines, model drift, and inference accuracy, ensuring compliance with AI governance and security best practices.

    • AI & Data Engineering Collaboration

      • Work with AIML, Data Engineering, and DevOps teams to optimize AI model deployments, data pipelines, and realtimebatch processing for AIdriven solutions.
      • Engage in Agile ceremonies, backlog refinement, and collaborative problemsolving to scale AIpowered workflows in areas like fraud detection, claims processing, and intelligent automation.

      • CrossFunctional Coordination and Communication

        • Collaborate with Product, UX, and Compliance teams to align AIpowered features with user needs, security policies, and regulatory frameworks (HIPAA, GDPR, SOC2).
        • Ensure seamless integration of structured and unstructured data sources (SQL, NoSQL, vector databases) to improve AI model accuracy and retrieval efficiency.

        • Mentorship & Knowledge Sharing

          • Mentor junior engineers on AI model integration, API development, and scalable data engineering best practices, and conduct knowledgesharing sessions.

          • Education & Experience Required

            • 1218 years of experience in software engineering or AIML development, preferably in AIdriven solutions.
            • Handson experience with Agile development, SDLC, CICD pipelines, and AI model deployment lifecycles.
            • Bachelor’s Degree or equivalent in Computer Science, Engineering, Data Science, or a related field.
            • Proficiency in fullstack development with expertise in Python (preferred for AI), Java
            • Experience with structured & unstructured data:
              • SQL (PostgreSQL, MySQL, SQL Server)
              • NoSQL (OpenSearch, Redis, Elasticsearch)
              • Vector Databases (FAISS, Pinecone, ChromaDB)
              • • Cloud & AI Infrastructure:
                  • AWS: Lambda, SageMaker, ECS, S3
                  • Azure: Azure OpenAI, ML Studio
                  • • GenAI Frameworks & Tools: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, AutoGPT, CrewAI.
                    • Experience in LLM deployment, retrievalaugmented generation (RAG), and AI search optimization.
                    • Proficiency in AI model evaluation (BLEU, ROUGE, BERT Score, cosine similarity) and responsible AI deployment.
                    • Strong problemsolving skills, AI ethics awareness, and the ability to collaborate across AI, DevOps, and data engineering teams.
                    • Curiosity and eagerness to explore new AI models, tools, and best practices for scalable GenAI adoption.

                    • About athenahealth

                      Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, highquality, and sustainable healthcare for all.

                      Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and doers with unique knowledge, expertise, backgrounds, and perspectives. We unite as missiondriven problemsolvers with a deep desire to achieve our vision and make our time here count. Our awardwinning culture is built around shared values of inclusiveness, accountability, and support.

                      Our DEI commitment: Our vision of accessible, highquality, and sustainable healthcare for all requires addressing the inequities that stand in the way. Thats one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.

                      What we can do for you:

                      Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.

                      We also encourage a better worklife balance for athenistas with our flexibility. While we know inoffice collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, fulltime. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.

                      In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.

                      Learn more about our culture and benefits here: athenahealth.comcareers

                      https:www.athenahealth.comcareersequalopportunity