Job Details

Agentic AI Developer

CGI is seeking a highly skilled and experienced Agentic AI Engineer to join our Health Care client in one of our selected client locations. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest leaders in the Health Care industry. This Senior AI Engineer will be instrumental to design, develop, and lead enterprise-grade Generative AI solutions.

This role requires deep hands-on expertise in Python, Large Language Models (LLMs), prompt engineering, embeddings, vector databases, and agent-based architectures. The role will work closely with the AI Center of Excellence (AI CoE) to ensure alignment with enterprise AI standards, governance, and best practices while driving adoption across delivery teams. This position can be performed from any Client site Bloomfield, CT, Raleigh, NC or Lafayette, LA in a Hybrid working Model.

The job entails technical leadership and architecture, development and engineering, collaboration with AI CoE, and AI & LLM expertise. The candidate should have at least 5+ years of professional software engineering experience, with strong hands-on expertise in Python or Java building scalable, production-grade applications. The candidate should also have 2+ years in LangChain, LangGraph, LangSmith, prompt engineering, multi LLM/model orchestration, tool calling, RAG, evaluation, and deployment.

The candidate should have strong experience developing GenAI applications using LangChain and implementing observability, evaluation, and debugging using LangSmith or equivalent tools. They should have demonstrated experience delivering enterprise Generative AI solutions, including design and implementation of RAG, agentic, and multi-agent architectures. They should also have proven hands-on experience with LLMs, including prompt engineering, optimization, evaluation, and lifecycle management in production environments.

The candidate should have experience designing and managing embeddings and vector-based retrieval pipelines using industry-standard vector databases or search platforms. They should have experience integrating GenAI solutions with enterprise platforms, APIs, and data sources, including structured data, documents, and unstructured content. They should also have hands-on experience implementing tool/function calling, memory, and agent orchestration to support complex workflows and automation use cases.

The candidate should have experience working with multimodal AI solutions involving text, documents, and images. They should have proven ability to evaluate, select, and operationalize LLMs (e.g., OpenAI, Azure OpenAI, open-source) with a focus on performance, scalability, cost, and reliability. They should have experience collaborating with an AI Center of Excellence (AI CoE) to align on enterprise standards, reference architectures, and reusable components.

The candidate should have strong understanding of AI governance, security, responsible AI, and compliance requirements in regulated enterprise environments. They should have demonstrated experience leading and mentoring engineering teams, reviewing designs, and establishing repeatable patterns and best practices. Required: Python, LangChain, LangGraph, LangSmith, prompt engineering, multi LLM/model orchestration, tool calling, RAG, evaluation, and deployment.

The candidate should have ability to quickly assess emerging GenAI technologies and apply them pragmatically within enterprise constraints. They should have a proactive approach to architectural simplification, reuse, and optimization to drive scalability and long-term maintainability. They should have ownership mentality, with the ability to lead initiatives end-to-end, from solution design through production deployment and adoption. They should have commitment to driving consistency, quality, and governance across GenAI implementations through collaboration with delivery teams and the AI CoE.

Education: Bachelor's degree in computer science or related field.

CGI's benefits are offered to eligible professionals on their first day of employment to include: Competitive compensation. Comprehensive insurance options. Matching contributions through the 401(k) plan and the share purchase plan. Paid time off for vacation, holidays, and sick time. Paid parental leave. Learning opportunities and tuition assistance. Wellness and Well-being programs