Designs enterprise AI architectures and production-ready Agentic AI, Generative AI, and AI-native solutions for Energy Trading & Risk Management. Responsibilities include client consultation, architecture governance, AI platforms and roadmaps, RAG and multi-agent systems, MLOps and LLMOps, data pipelines, security, compliance, observability, and responsible AI guardrails.
Role Summary
We are seeking an experienced AI Architect to lead the design and implementation of enterprise-grade AI solutions, with a strong focus on Agentic AI, Generative AI, and AI-native applications within the Energy Trading & Risk Management (ETRM) domain. The ideal candidate will be responsible for architecting AI-ready platforms, establishing robust AI governance and guardrails, and partnering with clients to design scalable, secure, and production-ready AI solutions that drive business value.
Key Responsibilities
- Partner with clients and business stakeholders to identify AI use cases and translate requirements into scalable technical solutions.
- Lead architecture discussions, solution design workshops, and technical governance reviews.
- Define and implement AI Native Enterprise Applications or Integrations on various tech stacks and cloud platforms, based on client needs.
- Define and implement enterprise AI architecture and technology roadmaps aligned with business objectives.
- Design and deploy AI-ready infrastructure with appropriate governance, security, compliance, observability, and responsible AI guardrails.
- Establish reference architectures, best practices, and reusable frameworks for GenAI and Agentic AI implementations.
- Architect and implement scalable Agentic AI solutions using modern orchestration frameworks.
- Design multi-agent workflows, autonomous reasoning systems, tool integrations, and human-in-the-loop capabilities.
- Develop Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge sources.
- Build scalable data pipelines and knowledge ingestion frameworks to support AI workloads if needed.
- Enable AI adoption across ETRM processes including trading operations, risk management, analytics, and decision support.
Required Skills & Qualifications
- 8-13 years of overall experience in enterprise grade software development, design and architecture.
- At least 2+ years of hands-on experience designing and delivering Generative AI and Agentic AI solutions at enterprise scale.
- Minimum 6 Years of hands-on full stack application development experience.
- Strong understanding of microservices, APIs, Kubernetes, event-driven architectures, and enterprise integration patterns.
- Expertise in Large Language Models (LLMs), foundation models, and Generative AI architectures.
- Hands-on experience designing and deploying Agentic AI applications in production environments.
- Deep expertise in Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and agentic workflows.
- Strong experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or similar frameworks.
- Experience with Azure OpenAI, OpenAI, Anthropic, Gemini, or equivalent enterprise LLM platforms.
- Expertise in cloud-native architectures on Azure, AWS, or Google Cloud.
Value Creed Hyderabad, Telangana, IND Office
17th Floor, Sky One, Prestige Skytech, Financial District, Hyderabad, Telangana, Hyderabad, Telangana, India, 500032
Value Creed Hyderabad, Telangana, IND Office
Hyderabad, India
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