Lead enterprise AI architecture for Agentic AI, Generative AI, and AI-native solutions in the ETRM domain. Responsibilities include designing AI-ready platforms, governance frameworks, RAG and multi-agent architectures, MLOps and LLMOps capabilities, data ingestion pipelines, and secure cloud-native infrastructure. The role partners with clients to identify use cases, lead solution design and governance discussions, establish technology roadmaps, and enable AI adoption across trading, risk management, analytics, and decision support.
Role Summary
Key Responsibilities
Required Skills & Qualifications
Preferred Qualifications
Value Creed is 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.
● 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 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.
● Design and implement MLOps and LLMOps frameworks for model lifecycle management, deployment, monitoring, governance, and optimization.
● Build scalable data pipelines and knowledge ingestion frameworks to support AI workloads.
● Enable AI adoption across ETRM processes including trading operations, risk management, analytics, and decision support.
● 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.
● Strong MLOps and LLMOps experience including model deployment, monitoring, evaluation, and governance.
● Expertise in cloud-native architectures on Azure, AWS, or Google Cloud.
● Strong understanding of microservices, APIs, Kubernetes, event-driven architectures, and enterprise integration patterns.
● Experience building large-scale data ingestion and processing pipelines.
Exposure to Responsible AI, AI governance, and regulatory compliance frameworks. Relevant cloud, AI, or enterprise architecture certifications.
Value Creed Hyderabad, Telangana, IND Office
17th Floor, Sky One, Prestige Skytech, Financial District, Hyderabad, Telangana, Hyderabad, Telangana, India, 500032
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