Value Creed Jobs

Solution Architect - AI

Value Creed

Solution Architect - AI

Posted Yesterday

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Hyderabad, Telangana, IND

In-Office

Entry level

Energy

Value Creed is the global leader in dedicated ETRM consulting, managed services, and digital transformation for ETRM.

The Role

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.

Summary Generated by Built In

Role Summary

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.

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 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.

Required Skills & Qualifications

● 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.

Preferred Qualifications

Exposure to Responsible AI, AI governance, and regulatory compliance frameworks. Relevant cloud, AI, or enterprise architecture certifications.

Skills Required

Expertise in large language models, foundation models, and Generative AI architectures
Hands-on experience designing and deploying Agentic AI applications in production
Expertise in RAG, vector databases, prompt engineering, and agentic workflows
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

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The Company

HQ: Dallas, TX

200 Employees

Year Founded: 2016

What We Do

Value Creed is the global leader in dedicated ETRM and CTRM consulting, managed services, and digital transformation, exclusively serving energy trading organizations across oil, gas, power, and commodities markets. With deep expertise across leading platforms including Allegro, RightAngle, Endur, Entrade, Aspect, Orchestrade, Coral, Adapt2, PCI, K3, PowerOptix, NGH , Salesforce and many more. Value Creed delivers end-to-end services spanning advisory, implementation, upgrades, managed services, and data and digital transformation. Serving clients across North America, Europe, and global energy markets, Value Creed combines specialized platform knowledge with proven methodologies to reduce operational risk, accelerate time-to-value, and drive measurable business outcomes. As energy markets evolve through digital disruption and energy transition, Value Creed is the trusted partner of choice for organizations seeking to modernize and future-proof their ETRM ecosystems.

Why Work With Us

Value Creed is a specialized ETRM/CTRM consulting firm serving global energy trading clients across oil, gas, power, and commodities. We offer high-impact careers in digital transformation, cloud, data, and enterprise platforms like Endur, Allegro, and RightAngle with strong growth, innovation, and industry expertise.