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    Sr. AI Development Manager - Bloomfield, United States - The Cigna Group

    The Cigna Group
    The Cigna Group Bloomfield, United States

    2 weeks ago

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    Full time
    Description

    You will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. The Cigna Group leverages cutting edge Generative AI technologies to build enterprise scale applications and we are looking for a Sr. AI Development Manager with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. The work you do will impact millions of customers, members, and employers that rely on The Cigna Group every day. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role.

    Responsibilities:

    • Lead a team of AI engineers and developers to design, develop, and implement AI solutions.
    • Collaborate with cross-functional teams to understand business needs and translate them into AI-driven solutions.
    • Drive the adoption of AI and machine learning across the organization.
    • Develop and maintain a roadmap for AI initiatives, ensuring alignment with business objectives.
    • Oversee the full development lifecycle, from concept to deployment, of AI applications.
    • Ensure the quality and performance of AI applications by conducting thorough testing and validation.
    • Stay up-to-date with the latest AI trends and technologies and apply them to our business needs.
    • Work with AI engineers, researchers, product teams, and other domain experts to tackle complex problems with robust, scalable engineering.
    • Provide hands-on technical leadership to the team, contributing directly to project code bases and guiding team members in their development efforts.
    • Foster innovation within the team, encouraging experimentation and adoption of emerging technologies.
    • Define engineering requirements, evaluate technical feasibility, forecast effort (time, cost, complexity), and apply best practices to mitigate risks and ensure project success.
    • Supports the definition of technical strategy and evangelizes to development teams.
    • Leads by example in learning new technologies and products, engages in research and POCs to identify the optimal solutions for challenging requirements.
    • Oversee quality design reviews, ensuring solutions not only meet business needs but also align with architectural standards and long-term visions.
    • Drive solution end-to-end, while coordinating with internal and external partners to maintain consistency and integrations across architectures.

    Qualifications:

    • Proven experience as an AI Development Manager or similar role.
    • Strong knowledge of AI technologies, including Generative AI and Large Language Models.
    • Experience with full stack development and enterprise scale applications.
    • Excellent leadership and team management skills.
    • Strong problem-solving abilities and attention to detail.
    • Proven hands-on technical expertise in cloud-based distributed software design and development, with strong foundation in designing for scalability, reliability and performance.
    • Experience with non-traditional database and knowledge representation architectures such as semantic graph databases, NoSQL, is preferred.
    • Solid experience in DevOps and CI/CD tools (e.g., Jenkins, Bamboo, Gitlab-CI, etc.) and containerization technologies (Docker, Kubernetes, OpenShift, EKS, etc.)
    • Experience or knowledge of machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index.
    • A background as a software engineering leader with at least 9+ years of experience in software development (Java/.Net, Python, or JavaScript.)
    • Deep understanding of machine learning techniques and experience with models like BERT, GPT-J, focusing on performance optimization and bias detection.
    • Excellent communication skills, with the ability to explain complex concepts.
    • Passion for transforming healthcare and improving lives.

    This is a hybrid role, requiring both remote and in-person work capabilities.

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