Technology Architect - AI -AgenticAI, Bedrock, VertexAI, OpenAI

Key Responsibilities

Architecture & Strategy- Define AI architecture patterns for generative, predictive, and retrieval-augmented systems.- Design scalable solutions using Agentic AI frameworks and orchestration tools.- Evaluate and integrate cloud-native AI services (Bedrock, VertexAI, Azure OpenAI).- Establish governance for model lifecycle, prompt engineering, and ethical AI practices.Platform Engineering & Integration- Build reusable components for LLM integration, vector search, and embeddings.- Enable secure and scalable deployment of AI models using Kubernetes and serverless platforms.- Integrate AI capabilities into enterprise applications via APIs, SDKs, and event-driven architectures.- Leverage observability tools to monitor model performance and drift.Client Orientation & Leadership- Partner with product and engineering teams to identify AI opportunities and shape roadmaps.- Support client workshops, RFPs, and solution presentations.- Mentor engineers on AI/ML best practices and emerging technologies.- Translate complex AI concepts into business-friendly narratives.

Must-Have Qualifications- 13+ years in software engineering with 3+ years in AI/ML solutioning.- Hands-on experience with LLMs, prompt engineering, and orchestration frameworks.- Proficiency in Python, LangChain, and cloud-native AI services (Bedrock, VertexAI, Azure OpenAI).- Strong understanding of model lifecycle, vector databases, and embeddings.- Experience with Kubernetes, CI/CD, and secure deployment of AI models.- Familiarity with ethical AI, bias mitigation, and governance frameworks.

Good-to-Have Skills- Experience with RAG, multi-agent systems, and autonomous workflows.- Knowledge of OpenTelemetry, Grafana, and model observability.- Domain experience in BFSI, Healthcare, Retail, or Telecom.- Certifications in AI/ML, cloud platforms, or data science.

13+ years in software engineering with 3+ years in AI/ML solutioning.
- Hands-on experience with LLMs, prompt engineering, and orchestration frameworks.- Proficiency in Python, LangChain, and cloud-native AI services (Bedrock, VertexAI, Azure OpenAI).- Strong understanding of model lifecycle, vector databases, and embeddings.- Experience with Kubernetes, CI/CD, and secure deployment of AI models.- Familiarity with ethical AI, bias mitigation, and governance frameworks.Location - Pune, Hyderabad, Bangalore, Chennai