Agentic AI Engineer, Senior

About the role

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 9/30/2026.

Responsibilities

• 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
• 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

Qualifications

• 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., LangChain; Semantic Kernel, AutoGen, Strands; CrewAI. LangGraph) 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 ID & 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; BigQuery (for data processing and analytics); Cloud Run, Cloud Functions, and GKE (for agent deployment)
• 1+ years experience leading project workstreams/engagements, translating business problems into AI solutions, and delivering measurable outcomes
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available

Skills

• Prior consulting experience in client-facing delivery roles
• Experience in creating critical collaterals for client workshops and customer interactive sessions
• Presentation skills with a high degree of comfort with both large and small audiences
• Experience building multi-agent systems (task delegation, coordination, and autonomous decision-making)
• Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Professional; Professional Machine Learning Engineer, Professional Cloud Architect
• Experience