Agentic AI, AI & Data Science Engineer

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting‑edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission‑critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 7/31/2026.

As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology‑focused client delivery across complex engagements.

• Managing day‑to‑day interactions with executive clients, stakeholders, and sponsors
• Managing and delivering components of client engagements focused on identifying, designing, and implementing both technology and creative business solutions for large companies
• Managing small teams to identify business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures. Your background in technology will provide the foundation to manage these streams but also understand the technology
• Creation and development of project scope and schedule. Plan and assign resources to associated tasks and deliverables
• Monitoring progress of the project, identify, and quantify variances, perform required corrective actions
• Managing changes to project scope, project schedule, and project costs to keep the project plan accurate, updated, as defined in the change management plan
• Identifying high‑level risks, assumptions, and constraints. Implement approved actions and workarounds to minimize the impact of risks on the project
• Developing and maintaining communication with key project stakeholders and decision makers

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Required:

• 4+ years of experience delivering AI/ML solutions, with at least 1 year focused on Generative AI, Agentic AI or multi‑agent systems
• 2+ years of hands‑on experience building AI/ML solutions using Python
• 1+ years of direct experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision‑making workflows (e.g.: Lang Chain; Semantic Kernel, Auto Gen, Strands; CrewAI; Lang Graph) to include:
• Azure: AI Foundry (design, deployment, orchestration of AI/agentic applications);
  OpenAI Service (LLM integration for reasoning, planning, and tool use);
  Cognitive Search & Vector DBs (retrieval, memory, context for agents);
  Cognitive Services (vision, speech, and language APIs for agent capabilities);
  Entra  & Key Vault (identity, security, compliance for AI workloads);
• and/or
• AWS:
  Amazon Bedrock (foundation models, model evaluation, and agent orchestration);
  Knowledge bases (retrieval, metadata filtering, re‑ranking), Guardrails, Prompt Flows, and RAG pipelines for enterprise‑grade agentic solutions;
  Lambda, ECR and EC2 based deployment;
  Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities);
  Cognito (identity, security, compliance for AI workloads); IAM, Secrets Manager, and KMS;
• and/or
• GCP:
  Vertex AI (e.g., Model Garden, Agent Builder, custom training);
  Gemini API and Google AI Studio;
  Big Query (for data processing and analytics);
  Cloud Run, Cloud Functions, and GKE (for agent deployment)
• 1+ years…