What you'll be doing
- Design and deliver innovative Agentic AI solutions that address client challenges and create measurable business value.
- Lead the architecture and implementation of autonomous and multi-agent AI systems using hyperscaler AI platforms, with a strong preference for AWS-native services and patterns.
- Collaborate with business, technology and delivery teams to integrate AI capabilities into enterprise applications, workflows and operating models.
- Demonstrate modern AI and Agentic AI solutions to clients, clearly articulating technical capabilities, business outcomes and implementation approaches.
- Translate high-level solution concepts into actionable architecture, design and delivery guidance for engineering teams.
- Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques.
- Evaluate emerging AI technologies, frameworks and industry trends to drive innovation and best practice.
- Provide technical leadership, mentoring and guidance to project teams, promoting excellence in AI solution delivery.
What you'll bring
- Minimum 6 years' experience in Solution Architecture, including at least 2-3 years focused on AI, Generative AI and Agentic AI solutions.
- Proven experience designing and delivering production-grade Agentic AI solutions on hyperscaler cloud platforms, with AWS experience strongly preferred (eg, Bedrock, Lambda, Step Functions and related AI services).
- Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments.
- Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent.
- Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI.
- Ability to engage confidently with senior stakeholders, communicate complex AI concepts clearly, and demonstrate business value to clients.
- Experience within the insurance sector is preferred, with an understanding of industry challenges, processes and regulatory considerations.
- Strong problem-solving, leadership and consulting skills, with a passion for innovation and continuous learning.
- Eligibility for SC clearance is highly desirable.