Gen AI Agentic AI Architect

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. And that it will be such Fractalities that will continue to build the company for the next 100 years.
 

Role Summary

We are seeking a mid–senior GenAI / Agentic AI Architect with strong hands‑on development skills and experience in building multi-agent systems, RAG pipelines, tool‑using agents, and production-grade AI platforms. The role requires strong client-facing capabilities, including stakeholder management, workshop facilitation, RFP contributions, and business relationship development. You will act as a player-coach, providing need-based mentorship across teams.

Key Responsibilities

Technical Responsibilities

• Design and implement LLM-driven reasoning, planning, and decision-making pipelines.
• Build multi-agent architectures, including planner–executor and coordinator–specialist models.
• Develop agent communication protocols, state-sharing, collaboration, and optimization strategies.
• Implement RAG systems using embeddings, vector search, hybrid retrieval, and re‑ranking.
• Build tool-using agents integrating with APIs, databases, and enterprise applications.
• Implement short-term, long-term, and episodic memory for agent workflows.
• Create evaluation frameworks for accuracy, grounding, hallucination, latency, cost, and reliability.
• Apply prompt engineering and parameter-efficient tuning (LoRA/adapters).
• Deploy and maintain AI workloads in production using CI/CD, observability, and resilient architectures.
• Continuously optimize cost, latency, model performance, and tool efficiency.

Client & Business Responsibilities

• Engage with multiple client stakeholders across business, technology, and executive teams.
• Lead and facilitate AI discovery workshops, architecture sessions, and solution walkthroughs.
• Support RFP/RFI responses, proposals, and technical write‑ups.
• Build and nurture long-term business relationships and identify growth opportunities.
• Translate business requirements into actionable GenAI/agentic solution designs.
• Present prototypes, PoCs, architecture options, and delivery roadmaps to senior stakeholders.
• Manage expectations, risks, and communications across multi-client engagements.

Required Skills

• Hands-on expertise in LLMs, agentic AI, and multi-agent frameworks (AutoGen, Semantic Kernel, CrewAI, LangGraph).
• Experience building tool-using agents, RAG systems, and function-calling pipelines.
• Proficiency in Python or C#/TypeScript and cloud platforms (Azure preferred).
• Knowledge of enterprise security, content safety, and responsible AI.
• Experience with vector databases (Azure AI Search, Pinecone, pgvector, Redis).
• Excellent communication skills for client and stakeholder interactions.

Preferred Skills

• Azure OpenAI, Semantic Kernel, Azure Functions, AKS/Container Apps.
• Experience in BFSI, Automotive, Retail, or Manufacturing sectors.
• Pre-sales experience including proposal development and account growth.

Soft Skills

• Strong communication, facilitation, and presentation ability.
• Client relationship management and stakeholder alignment.
• Ability to multitask across engagements and manage ambiguity.
• Collaborative mindset with mentoring capability.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!