• 12+ years of experience in software architecture, AI/ML, or digital engineering with significant exposure to Generative AI solutions.
• Strong expertise in designing and implementing GenAI architectures and AI solution platforms.
• Hands-on experience with Agentic AI frameworks and intelligent workflow orchestration.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures and implementation patterns.
• Experience with vector databases and LLM integration workflows.
• Expertise in integrating AI services into enterprise and embedded products.
• Strong experience in microservices architecture and distributed systems design.
• Proficiency in Python, Rust, or .NET development.
• Experience with API management, enterprise integration patterns, data flows, and compliance architectures.
• Expertise in cloud platforms including Azure and AWS.
• Strong hands-on experience with orchestration frameworks such as:
  • LangChain
  • Semantic Kernel
  • LlamaIndex
  • Similar AI orchestration frameworks
• Experience implementing observability, monitoring, and governance for AI applications.
• Strong understanding of NLP and Large Language Models including:
  • OpenAI
  • Azure OpenAI
  • Amazon Bedrock
  • Claude
  • Other Foundation Models

Preferred Skills

• Experience with AI agents, multi-agent systems, and autonomous workflows.
• Familiarity with model fine-tuning, prompt engineering, and model evaluation techniques.
• Knowledge of MLOps, LLMOps, and AI lifecycle management.
• Experience with Kubernetes, Docker, CI/CD pipelines, and cloud-native architectures.
• Exposure to Responsible AI, AI governance, and regulatory compliance frameworks.
• Experience working with enterprise AI transformation programs.

Soft Skills

• Strong leadership and solution architecture capabilities.
• Excellent stakeholder management and customer-facing skills.
• Strong communication and presentation skills.
• Ability to influence technical and business decision-making.
• Proactive and innovation-driven mindset.
• Strong collaboration skills across cross-functional and global teams.
• Ability to work in fast-paced, evolving technology environments.

In this role, you will:

• Architect scalable, secure, and modular Generative AI solutions across enterprise and embedded ecosystems.
• Design and develop reusable AI assets, accelerators, and proof-of-concepts (POCs) that can be industrialized for project deployments.
• Define technology roadmaps and identify emerging AI tools, frameworks, and platform capabilities.
• Collaborate closely with business, delivery, and engineering teams to translate business requirements into AI-driven solutions.
• Design and implement Agentic AI architectures leveraging autonomous workflows and orchestration frameworks.
• Support prompt orchestration, model integration, fine-tuning, observability, evaluation, and toolchain automation.
• Develop and optimize Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
• Architect microservices-based AI platforms and integrations across cloud and enterprise systems.
• Collaborate with data scientists and AI engineers to operationalize machine learning and Generative AI models.
• Establish governance, compliance, security, and monitoring frameworks for AI deployments.
  • Drive innovation by evaluating emerging LLMs, foundation models, and AI service offerings.