CTO - AI/ML Solutions & Architecture

Wipro

Bengaluru

On-site

INR 4,500,000 - 7,000,000

Full time

5 days ago
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Benefits offered by this job

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Job summary

Wipro seeks a hands-on and visionary Agentic AI Solutions Leader to design and deliver advanced AI-driven solutions leveraging Generative AI, LLMs, and multi-agent systems. Lead solution architecture, drive autonomous enterprise workflows, and deliver measurable business outcomes across Agent Web, Agent Commerce, and workflows.

The role requires deep technical expertise, business acumen, and leadership to guide teams in safe, governed agentic systems with strong observability and reuse patterns.

Qualifications

  • Strong foundation in AI/ML, deep learning, and LLM-based systems.
  • Hands-on experience with Agentic AI frameworks and multi-agent system design.
  • Experience with RAG architectures and vector databases.
  • Proficiency in Python, TensorFlow, PyTorch.

Responsibilities

  • Architect, design, and implement agent-based AI solutions using Generative AI, LLMs/SLMs, and deep learning.
  • Design and deliver multi-agent systems for Agent Web, Agent Commerce, and Autonomous workflows.
  • Translate business problems into end-to-end AI solutions, ensuring usability and time-to-value.
  • Design safe and governed agentic systems with human-in-the-loop controls, observability, auditability, and failure handling.
  • Drive AI solution delivery aligned to measurable business outcomes.
  • Collaborate with cross-functional teams to define solution architecture, standards, and reusable patterns.
  • Mentor engineering teams on agentic design patterns and performance optimisation.
  • Stay at the forefront of Agentic AI and autonomous decision-making technologies.

Skills

AI/ML foundations
LLM-based systems
Agentic AI
Multi-agent systems
Enterprise workflows
MLOps
Cloud platforms (AWS, Azure, GCP)
Leadership & delivery

Tools

TensorFlow
PyTorch
Python
Vector databases
RAG architectures
Agentic AI frameworks

Job description

We are seeking ahands-on and visionary Agentic AI Solutions Leaderto design and deliver advanced AI-driven solutions to accelerate enterprise AI transformation by leveraging the continuously evolving AI innovations like, Generative AI, Agentic AI, LLMs, Deep Learning, and multi-agent systems.

The ideal candidate combines deep technical expertise withsolution architecture leadership and strong business orientationto deliverautonomous, intelligent systems, for example, Agent Web, Agent Commerce, and Autonomous Enterprise Workflows, with measurable impact.

Key Responsibilities
  • Architect, design, and implementagent-based AI solutionsusing Generative AI, LLMs/SLMs, and deep learning.
  • Design and delivermulti-agent systemsfor:
    • Agent Web(autonomous enterprise systems like market places for customers, partners and employees)
    • Agent Commerce(AI-driven transaction and decisioning systems)
    • Autonomous workflows( enterprise process reimagination)
  • Translate business problems intoend-to-end AI solutions, ensuring usability, adoption, and time-to-value.
  • Designsafe and governed agentic systems, including:
    • Human-in-the-loop controls
    • Observability, auditability, and failure handling
  • Drive AI solution delivery aligned tomeasurable business outcomes(productivity, cost, revenue impact).
  • Collaborate with cross-functional teams to definesolution architecture, standards, and reusable patterns in alignment with product roadmap and release plans.
  • Mentor engineering teams onagentic design patterns, AI system design, and performance optimisation.
  • Stay at the forefront ofAgentic AI, multi-agent systems, and autonomous decision-making technologies by nurturing a culture of continuous learning and experimentation for business impact.
  • Ensureend-to-end solution quality, scalability, and maintainability.

Job description:

Job Description

We are seeking ahands-on and visionary Agentic AI Solutions Leaderto design and deliver advanced AI-driven solutions to accelerate enterprise AI transformation by leveraging the continuously evolving AI innovations like, Generative AI, Agentic AI, LLMs, Deep Learning, and multi-agent systems.

The ideal candidate combines deep technical expertise withsolution architecture leadership and strong business orientationto deliverautonomous, intelligent systems, for example, Agent Web, Agent Commerce, and Autonomous Enterprise Workflows, with measurable impact.

Required Skills & Experience
  • Strong foundation inAI/ML, deep learning, and LLM-based systems
  • Hands-on experience with:
    • Agentic AI frameworks and multi-agent system design
    • RAG architectures and vector databases
    • Python, TensorFlow, PyTorch
  • Experience integrating AI intoenterprise workflows and business processes
  • Experience in exponential engineering – evaluation and adoption of AI native engineering tools for shrinking lead time and cycle time.
  • Strong understanding of:
    • Agent orchestration, reasoning, memory, and tool usage
    • Scalable system design and distributed computing (e.g., PySpark)
  • Experience with cloud platforms (AWS, Azure, GCP) and modern MLOps practices
  • Proven experience inleading AI solution delivery at scale with real business impact
Authority & Accountability

This role has full authority over AI solution architecture and is accountable for designing, building and deploying production-grade agentic solutions with measurable business outcomes, working in close collaboration with engineering, data, and business teams.

Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions.

Applications from people with disabilities are explicitly welcome.

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