** This is a long-term contract opportunity.
** No visa candidates. Only US Citizens or Permanent Residents will be considered for this role.
** Local candidates only. This is an onsite role.
We are seeking a highly skilled AI Agent Development Engineer for a financial services client to help them design, build, and deploy intelligent AI agents that automate business workflows and enhance decision-making. This role focuses on developing agent-based solutions using large language models (LLMs), copilots, and enterprise AI platforms to drive operational efficiency and innovation.
Key Responsibilities
Design and implement AI agents leveraging LLMs, Retrieval-Augmented Generation (RAG), and multi-agent frameworks
Develop conversational AI solutions, copilots, and intelligent automation workflows
Integrate AI agents with enterprise systems (APIs, Dynamics 365, Dataverse, Microsoft Fabric and MCP’s)
Build agent orchestration including memory, context management, and reasoning capabilities
Monitor, evaluate, and continuously improve agent performance and reliability
Apply Responsible AI, security, and governance standards across all solutions
Collaborate with business and technology teams to translate requirements into agent-driven solutions
Required Skills
Strong programming: C#, Python, Typescript, REST APIs, backend development
Experience with LLMs, prompt engineering, embeddings, and RAG architectures
Familiarity with frameworks: LangChain, Semantic Kernel, AutoGen, or similar
Cloud platforms: Azure AI (preferred), AWS, or GCP
Experience with vector databases (Pinecone, FAISS, Azure AI Search, etc.)
Understanding of microservices, containers (Docker, Kubernetes)
Qualifications
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
3–8+ years of experience in AI/ML engineering or software development
Hands-on experience building AI agents, chatbots, or intelligent automation systems
Proven ability to deploy solutions into production environments
Preferred Qualifications
Experience with Copilot Studio, Agent 365, or enterprise AI platforms
Knowledge of knowledge graphs and enterprise data platforms (e.g., Microsoft Fabric)
Domain experience in Financial Services / Wealth Management
Familiarity with AI governance, compliance, and audit frameworks