Senior Group Technical Architect

Job Summary

Job Title: AI Architect – Product Analytics & AI/ML
Location: Hyderabad
Experience: 15+ Years
Job Summary:
We are seeking a Enterprise AI Architect with 15+ years of experience in designing and implementing enterprise-scale technology solutions, including at least 5–7 years focused on advanced AI/ML systems. This role requires deep expertise in Agentic AI, Multi-Agent Orchestration, LLM Integration, MCP, RAG frameworks, AI Governance, and Cloud AI ecosystems (AWS, Azure, GCP). The successful candidate will serve as a strategic leader, guiding enterprise AI adoption and ensuring scalable, secure, and ethical deployment of AI solutions.
Key Responsibilities:
•    Lead the design and deployment of multi-agent orchestration systems and Agentic AI frameworks.
•    Architect solutions integrating LLMs, MCP, RAG frameworks and Tool calling into enterprise workflows.
•    Familiarity with workflow automation platforms and orchestration tools.
•    Define reference architectures and best practices for AI adoption across business units
•    Drive AI workload optimization across AWS, Azure, and GCP.
•    Establish multi-cloud strategies for scalable, resilient AI services.
•    Evaluate and integrate cloud-native AI/ML services into enterprise platforms.
•    Champion AI governance frameworks ensuring responsible, ethical, and compliant AI usage.
•    Define enterprise-wide policies for data privacy, model transparency, and regulatory compliance.
•    Collaborate with risk and compliance teams to align AI initiatives with global standards.
•    Shape enterprise AI strategy, identifying opportunities for Agentic AI-driven automation and multi-agent collaboration.
•    Stay ahead of emerging AI technologies and frameworks, advising leadership on adoption.
•    Partner with executives to align AI initiatives with business transformation goals.
•    Mentor architects, engineers, and data scientists on advanced AI frameworks.
•    Build cross-functional collaboration between IT, data, and business teams.
•    Represent the enterprise in industry forums, conferences, and AI consortiums.
Preferred Qualifications:
•    Certifications in GCP (e.g., Professional Machine Learning Engineer, Data Engineer).
•    Experience in Agile/Scrum methodologies.
•    Exposure to MLOps and CI/CD pipelines for ML models.
•    Experience working in a product-led company.To play a pivotal role in designing and implementing complex/large scale technical solutions, that are scalable and in line with industry best practices, latest technology trends.

 

Key Responsibilities

1. To architect| design and develop (through Team) solution for product/project & sustenance delivery
2. To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domain/technology expertise, and driving successful implementations that propel strategic initiatives.
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance /compliance measures.
5. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated
6. To submit Whitepapers, participate in industry forums and file Patents

Skill Requirements

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Other Requirements

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