AI Architect

Indigrators; Hyderabad; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Indigrators is seeking an experienced AI Architect to drive enterprise-wide AI adoption, translating business challenges into scalable AI solutions. You will define AI strategies, architectures, and roadmaps, and partner with product, engineering, security, and enterprise architecture teams.

You will lead governance, MLOps/LLMOps, and responsible AI initiatives, ensuring scalable, secure deployments across cloud, hybrid, and on-premise environments while aligning with cost optimization and

Qualifications

• Bachelor's or Master's Degree in Computer Science, Engineering, Data Science, or a related field.
• Experience designing AI architectures and reference architectures.
• Experience with MLOps / LLMOps.
• Proficiency with cloud platforms (Azure, AWS, or GCP).
• Strong governance and Responsible AI knowledge.

Responsibilities

• Identify, assess, and prioritize AI/ML use cases across business functions.
• Translate business problems into AI-driven solution approaches.
• Define measurable business outcomes, KPIs, and value realization metrics.
• Drive adoption of AI-powered solutions including GenAI, automation, and analytics.
• Design end-to-end AI/ML and Generative AI architectures.
• Ensure solutions meet enterprise standards for scalability, security, and cost optimization.
• Provide architecture guidance for MLOps, LLMOps, and CI/CD for AI workloads.
• Establish governance frameworks and Responsible AI practices.
• Collaborate with stakeholders and support engineering teams throughout delivery.

Skills

GenAI

AI Solution Design

MLOps / LLMOps

Cloud Platforms

AI Governance

Stakeholder Management

Education

Bachelor's or Master's Degree in CS/Engineering/Data Science

Tools

Job description

We are seeking a highly experienced AI Architect to drive enterprise-wide AI adoption by translating business challenges into scalable, secure, and value-driven AI solutions. The ideal candidate will work closely with business stakeholders, product teams, engineering, security, and enterprise architecture teams to define AI strategies, establish reference architectures, and ensure successful implementation of AI and Generative AI initiatives.

Key Responsibilities:

• Identify, assess, and prioritize AI/ML use cases across various business functions.
• Translate business problems into AI-driven solution approaches.
• Define measurable business outcomes, KPIs, and value realization metrics.
• Drive adoption of AI-powered solutions including intelligent automation, predictive analytics, AIOps, knowledge assistants, and developer productivity initiatives.
• Design end-to-end AI/ML and Generative AI architectures.
• Machine Learning and Deep Learning solutions
• Generative AI and LLM-based applications
• Batch and Real-time inference models
• Cloud, Hybrid, and On-Premise deployments
• Ensure solutions meet enterprise standards for scalability, security, resilience, and cost optimization.
• Define AI/ML platform strategy and technology roadmap.
• Provide architecture guidance for:
• MLOps and LLMOps
• CI/CD integration for AI workloads
• Evaluate emerging AI technologies and recommend build, buy, or partner approaches.
• Governance & Responsible AI
• Implement Responsible AI principles including fairness, transparency, explainability, and ethical AI practices.
• Ensure compliance with security, privacy, and regulatory requirements.
• Establish governance frameworks and architectural controls for enterprise AI solutions.
• Stakeholder Collaboration
• Act as a trusted advisor for AI architecture and best practices.
• Create and maintain architecture standards, blueprints, and decision records.
• Support engineering teams throughout design and implementation phases.
• Drive AI awareness and capability-building initiatives across the organization.

Must-Have Skills

• Generative AI (GenAI)
• AI Solution Design & Reference Architecture
• MLOps / LLMOps
• Cloud Platforms (Azure, AWS, or GCP)
• AI Governance & Responsible AI
• Stakeholder Management

Good-to-Have Skills

• RAG (Retrieval-Augmented Generation)
• AI Agents & Agentic Workflows
• LangChain / Semantic Kernel
• Payments or Financial Services Domain Experience
• AI Center of Excellence (CoE) Setup Experience
• AI/ML or Cloud Certifications

Additional Job Details:

• Interview process: 2 technical rounds
• Work model: 3 days’ work from office
• Notice Period: Immediate Joiners Only

Education

• Bachelor's or Master's Degree in Computer Science, Engineering, Data Science, or a related field.

COMPANY OVERVIEW

Indigrators is a trusted technology partner delivering end-to-end solutions across software product development, enterprise applications, and global capability centers. We specialize in building scalable, high-performance systems and providing consulting, implementation, and support for enterprise solutions. Our GCC-as-a-Service model enables organizations to establish and operate dedicated technology and shared services hubs in India with agility and cost efficiency.

With a strong focus on innovation and operational excellence, Indigrators combines deep domain expertise with advanced technologies to help businesses accelerate digital transformation. Our culture emphasizes transparency, collaboration, and empowering teams to deliver impactful results for clients worldwide.