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Job Summary
We are seeking a highly qualified professional to join our team as a GenAI Platform Architect. As an essential part of our organization, you will be responsible for defining, building, and evolving enterprise-grade Generative AI and Agentic AI platforms. We are looking for a senior technical leader with deep expertise in AI/ML architecture, cloud ecosystems, and scalable platform design.
Qualifications
- Expert-level experience in AI/ML solution architecture in enterprise environments
- Strong proficiency in Azure Cloud, preferably Azure AI Foundry (or equivalent: AWS Bedrock, Vertex AI)
- Deep knowledge of LLMs (OpenAI, Anthropic Claude, Mistral, etc.) and their operational characteristics
- Proven experience with RAG and Agentic RAG (chunking, embeddings, vector stores such as Azure AI Search, pgvector)
- Hands-on experience with orchestration frameworks: LangChain, LangGraph, Semantic Kernel, Microsoft Agent Framework
- Strong programming skills in Python; solid understanding of SOLID principles and design patterns for AI systems
- Experience with Event-Driven Architecture and API integrations (REST/GraphQL)
- Knowledge of Kubernetes and DevOps/MLOps practices (Docker, Terraform, GitHub Actions, Azure DevOps)
- Strong understanding of security, governance, and compliance in AI systems
Responsibilities
- Define and own the end-to-end agentic architecture (Agent Platform, Data \& Knowledge, Security \& Compliance, Governance, Human Oversight, Enterprise Integration)
- Design internal SDKs and API contracts ensuring modularity, scalability, and extensibility
- Select and justify technology stack (LLM gateway, orchestrator, vector store, cloud platform)
- Define integration strategies with enterprise systems (Jira, Confluence, GitHub, Teams, CI/CD pipelines)
- Evaluate multi-agent vs. single-agent approaches and document architecture decisions (ADRs)
- Ensure compliance by design (EU AI Act) and implement security controls (guardrails, RBAC, data masking, audit trails, prompt injection protection)
- Define identity management (Azure AD / OAuth2), agent sandboxing, and human-in-the-loop policies
- Lead red teaming exercises and establish risk and IP governance frameworks
- Implement quality gates across the agentic SDLC and define success metrics (ROI, cycle time, automation coverage, compliance SLAs)
- Oversee observability frameworks including dashboards, logging, and productivity reporting
- Mentor and guide GenAI Platform Engineers and Agentic Engineers
- Collaborate with Product Owners and stakeholders to prioritize technical backlogs
- Act as the senior technical authority in key client decision-making moments
Working Model: Hybrid
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