We are seeking a Technology Architect – AI to lead the design, development, and deployment of AI-driven enterprise solutions. The ideal candidate will possess deep expertise in Generative AI, Large Language Models (LLMs), and Cloud-native AI services.
You will architect scalable, secure, and production-ready AI systems, guide engineering teams, and partner with clients to deliver intelligent, value-driven solutions. This position combines hands-on technical leadership with strategic vision and client engagement.

Key Responsibilities

Architecture & Strategy

• Define and implement AI architecture patterns for generative, predictive, and retrieval-augmented systems.

• Design scalable solutions leveraging Agentic AI frameworks and orchestration tools.

• Evaluate, recommend, and integrate cloud-native AI services (AWS Bedrock, Google Vertex AI, Azure OpenAI).

• Establish governance frameworks for model lifecycle, prompt engineering, and ethical AI practices.

Platform Engineering & Integration

• Develop reusable components for LLM integration, vector search, and embeddings.

• Architect secure, scalable deployments using Kubernetes, Docker, and serverless platforms.

• Integrate AI capabilities into enterprise applications via APIs, SDKs, and event-driven architectures.

• Implement observability and monitoring frameworks to track model performance, drift, and reliability.

Client Orientation & Leadership

• Collaborate with product and engineering teams to identify AI opportunities and build solution roadmaps.

• Lead client workshops, pre-sales discussions, RFP responses, and technical presentations.

• Mentor and guide engineering teams on AI/ML best practices and modern tooling.

• Translate complex AI architectures and models into business-aligned narratives.

Required Skills

    Automation-Playwright, TOSCA, CI/CD, Java    

       Performance Testing-JMETER, PerformanceCenter, Dynatrace, Java

      AI  -AgenticAI, Bedrock, VertexAI, OpenAI

     TDM-Broadcom TDM, Genrocket, Delphix, k2

Must-Have Qualifications

• 13+ years of experience in software engineering, including 3+ years in AI/ML solution design.

• Strong hands-on experience with LLMs, prompt engineering, and orchestration frameworks.

• Proficiency in Python, LangChain, and cloud-native AI platforms (AWS Bedrock, Vertex AI, Azure OpenAI).

• Deep understanding of vector databases, embeddings, and model lifecycle management.

• Experience with Kubernetes, CI/CD, and secure model deployment.

• Awareness of ethical AI, bias mitigation, and governance standards.

Good-to-Have Skills

• Experience implementing RAG pipelines, multi-agent systems, and autonomous AI workflows.

• Familiarity with OpenTelemetry, Grafana, and AI observability tools.

• Domain experience in BFSI, Healthcare, Retail, or Telecom.

• Professional certifications in AI/ML, Cloud Architecture, or Data Science.