AI/ML Architect

Wipro; Pune District, Chennai District, Bengaluru; Hybrid; INR 1,000,000 - 1,800,000; Full time

Job summary

Wipro is seeking a senior software engineer with 5+ years of experience in distributed systems and cloud‑native solutions. The role emphasizes client engagements, advising on complex problems, and delivering AI/ML solutions with model deployment experience.

The candidate should be proficient with cloud environments (Azure, AWS, GCP) and have strong communication skills to influence both technical and executive audiences.

Qualifications

• 5+ years of hands‑on software engineering experience in deploying distributed systems and cloud‑native solutions.
• 5+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives.
• Experience working in client‑facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real‑world environments.
• Experience building and deploying AI/ML solutions, including familiarity with LLMs, prompt engineering, and model deployment patterns.

Responsibilities

• Lead client engagements from discovery to delivery, shaping solutions and roadmaps.
• Partner with stakeholders to understand needs, communicate technical solutions, and manage delivery.

Skills

Distributed Systems

Cloud Platforms

AI/ML Solutions

Prompt Engineering

Client Engagements

Stakeholder Mgmt

Communication

APIs & Data

Cloud Deployment

Education

Bachelor’s in CS/Engineering/Data Science

Masters preferred (AI/ML)

Tools

CodeX

Claude

AI Productivity Tools

Job description

Years of Experience-5-14 years

• Bachelors degree in Computer Science, Engineering, Data Science, or related field
• 5+ years of hands‑on software engineering experience in deploying distributed systems and cloud‑native solutions
• 5+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives
• Experience working in client‑facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real‑world environments
• Experience building and deploying AI/ML solutions, including familiarity with LLMs, prompt engineering, and model deployment patterns
• Experience structuring ambiguous problems and driving them to clear, actionable solutions
• Experience working in cloud environments (e.g., Azure, AWS, GCP)
• Proficiency in modern development frameworks, APIs, and data integration approaches
• Advanced user capability on CodeX, Claude, etc. and other AI productivity tools
• Proven ability to lead client engagements, including discovery, solution design, and delivery
• Proven solid stakeholder management skills, with the ability to influence both technical and executive audiences
• Proven excellent communication and storytelling skills, with the ability to adapt messaging to different audiences

Preferred Qualifications:

• Masters degree in a technical discipline (AI/ML, Data Science, Software Engineering)
• Healthcare Domain Expertise; understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle)
• Familiarity with healthcare data, regulatory requirements, and interoperability considerations
• Proven to be comfortable operating in fast‑paced, ambiguous environments with evolving client needs
• Proven solid collaboration mindset with the ability to work across distributed and cross‑functional teams
• Proven entrepreneurial, solution‑oriented approach with a bias toward action and outcomes