AI​/ML Engineer - Engineering Excellence; Full Stack Developer

About The Role

The Digital S/W Engineer Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work‑flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub‑function as well as coordinate and contribute to the objectives of the function and overall business.

Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams.

Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

We are seeking a highly skilled and experienced Senior AI/ML & Agentic AI Engineer with a robust background in Python, Java, database technologies, cloud platforms, and CI/CD Dev Ops practices to join our Engineering Excellence and Transformation organization. In this critical role, you will be at the forefront of designing, developing, and integrating cutting‑edge AI/ML and Agentic AI solutions, including advanced AI assistant tools, to revolutionize engineering processes and drive significant operational improvements across our enterprise.

You will leverage your comprehensive technical expertise to build scalable, resilient, and high‑performance AI systems from conception to deployment, fostering a culture of innovation and continuous delivery.

• Accountable for executing and driving mid‑size feature application design and development efforts to completion, serving as a development lead on medium‑scale projects and supporting the execution of larger efforts.
• Proficient at operating with considerable autonomy and discretion as you will significantly influence the way an application is designed and developed by providing subject specific expertise and an advanced level of understanding of application programming principles.
• Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions).
• Utilize in‑depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications.
• Review and analyze proposed technical solutions for projects.
• Lead the design, development, and implementation of sophisticated AI/ML, Generative AI, and Agentic AI solutions, including AI assistant tools, in close collaboration with AI architects, product owners, and cross‑functional engineering teams within the Engineering Excellence framework.
• Architect and develop end‑to‑end AI systems, leveraging both Python for machine learning workflows and Java for scalable enterprise‑grade backend services, ensuring seamless integration with existing and new applications.
• Design and implement intelligent agentic systems that exhibit autonomous decision‑making capabilities, enabling advanced automation and self‑optimizing processes.
• Develop, fine‑tune, and optimize Large Language Models (LLMs) using both parameter‑efficient techniques and full fine‑tuning, focusing on their integration into robust, production‑ready systems supported by both Python and Java components.
• Drive the implementation and experimentation with advanced generative AI methods such as prompt engineering and Retrieval‑Augmented Generation (RAG), ensuring their effective deployment and performance in enterprise environments.
• O…