Agentic AI Developer

Agentic AI Developer Category: Software Development/ Engineering Main location: United States, Connecticut, Hartford Position ID: J0626-1051 Employment Type: Full Time Position Description: The best version of us starts with You! The agency is seeking a highly skilled and experienced Agentic AI Engineer to join a 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. The position can be performed from any Client site Bloomfield, CT, Raleigh, NC or Lafayette, LA in a Hybrid working Model. Your future duties and responsibilities Technical Leadership & Architecture Lead the design and development of scalable Generative AI solutions using LLMs Define and implement architectures for RAG, agentic, multi‑agent, and multimodal systems Review and guide solution designs to ensure alignment with AI CoE standards and enterprise architecture Mentor and guide developers on GenAI patterns, tools, and best practices Development & Engineering Develop end‑to‑end AI solutions using Python Design, test, and optimize prompt engineering strategies Build and manage embeddings, vector search, and semantic retrieval pipelines Develop applications using LangChain and monitor, evaluate, and debug workflows using LangSmith Integrate LLMs with enterprise systems, APIs, and structured/unstructured data sources Implement agent‑based and multi‑agent workflows for task orchestration and automation Work with multimodal models involving text, documents, and images Collaboration with AI CoE Work closely with the AI CoE to align on AI frameworks, reusable components, and architectural standards Contribute to enterprise GenAI accelerators, reference architectures, and best practices Support governance, security, responsible AI, and compliance requirements Share learnings, patterns, and improvements across teams to drive consistency and adoption AI & LLM Expertise Apply deep understanding of LLM capabilities, limitations, and optimization techniques Implement techniques such as RAG, tool/function calling, memory, and agents Evaluate and recommend appropriate models (OpenAI, Azure OpenAI, open‑source models) Ensure performance, scalability, cost optimization, and reliability of AI solutions Required qualifications to be successful in this role At least 5+ years of professional software engineering experience, with strong hands‑on expertise in Python or Java building scalable, production‑grade applications. 2+ years in LangChain, LangGraph, LangSmith, prompt engineering, multi LLM/model orchestration, tool calling, RAG, evaluation, and deployment. Strong experience developing GenAI applications using LangChain and implementing observability, evaluation, and debugging using LangSmith or equivalent tools. Demonstrated experience delivering enterprise Generative AI solutions, including design and implementation of RAG, agentic, and multi‑agent architectures. Proven hands‑on experience with LLMs, including prompt engineering, optimization, evaluation, and lifecycle management in production environments. Experience designing and managing embeddings and vector‑based retrieval pipelines using industry‑standard vector databases or search platforms. Experience integrating GenAI solutions with enterprise platforms, APIs, and data sources, including structured data, documents, and unstructured content. Hands‑on experience implementing tool/function calling, memory, and agent orchestration to support complex workflows and automation use cases. Experience working with multimodal AI solutions involving text, documents, and images. Proven ability to evaluate, select, and operationalize LLMs (e.g., OpenAI, Azure OpenAI, open‑source) with a focus on performance, scalability, cost, and reliability. Experience collaborating with an AI Center of Excellence (AI CoE) to align on enterprise standards, reference architectures, and reusable components. Strong understanding of AI governance, security, responsible AI, and compliance requirements in regulated enterprise environments. 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. Expectations Ability to quickly assess emerging GenAI technologies and apply them pragmatically within enterprise constraints. Proactive approach to architectural simplification, reuse, and optimization to drive scalability and long‑term maintainability. Ownership mentality, with the ability to lead initiatives end‑to‑end, from solution design through production deployment and adoption. 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. Compensation CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit‑based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $80,600 - $194,000.00. Benefits 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 Skills Agentic RAG Artificial Intelligence Generative AI LangChain LangGraph Python SQL Databricks HC&LifeScience(PS) Python (Anaconda) AI/ML EEO Statement Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. #J-18808-Ljbffr CGI Technologies and Solutions, Inc.