AI Engineering Lead/Architect

Aimlroles; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Aimlroles in Pune, India seeks a senior delivery leader to own and drive a $10M+ engineering portfolio across clients. You will guide platform build, modernization, and cloud-native programmes spanning .NET, Java, and Python stacks.

You will set engineering standards, manage risk, and partner with leaders to grow revenue while delivering high-quality outcomes. The role emphasizes AI-enabled delivery and staff development in a fast-paced setting.

Qualifications

• Senior delivery leader responsible for a $10M+ engineering portfolio across clients.
• Builds governance and reporting with CTO/CIO/VP-level stakeholders.
• Champions delivery excellence, alignment of practice heads and resource managers.

Responsibilities

• Own end-to-end delivery of a $10M+ engineering portfolio on time, budget, quality.
• Lead platform build, modernisation and cloud-based programmes across .NET, Java, Python stacks.
• Set engineering standards, guardrails, code quality, and release cadence.
• Manage programme risk and keep clients informed throughout.
• Embed AI tooling across the SDLC to accelerate delivery and improve quality.

Skills

Leadership

Portfolio management

Client management

Strategic planning

Stakeholder management

Tools

CI/CD pipelines

DevSecOps tooling

Cloud platforms

Job description

What You Will Do Delivery & Programme Leadership

• Own end-to-end delivery of a $10M+ engineering portfolio across clients — on time, on budget, and to quality bar.

• Lead platform build, modernisation, and custom application programmes natively on cloud, spanning .NET Full-Stack, Java Distributed Systems, Python stack etc.

• Set and enforce engineering standards: architecture guardrails, code quality, DevSecOps, and release cadence across multi-team engagements.

• Manage programme risk proactively — elevate early, resolve decisively, and keep clients informed throughout.

AI-Driven Engineering Acceleration

• Embed AI tooling across the SDLC — from AI-assisted requirements and design through to automated testing, code generation, and incident response.

• Architect and operationalise agentic systems and workflows that reduce manual toil, accelerate delivery cycles, and improve output quality.

• Quantify the impact of AI adoption: establish baselines, track velocity and quality metrics, and present measurable efficiency gains to clients and leadership.

• Stay ahead of the AI tooling curve; evaluate and pilot emerging platforms (LLM orchestration, RAG pipelines, AI code assistants).

Portfolio & Revenue Growth

• Carry full P&L accountability for the portfolio — margin, revenue, forecasting, and commercial hygiene.

• Partner with practice, consulting, and client partner leaders to identify expansion opportunities within existing accounts and shape new pursuit strategies.

• Translate delivery track record into growth narrative — contribute to proposals, solution designs, and client presentations that differentiate on execution credibility.

Client & Stakeholder Engagement

• Serve as the senior delivery point-of-contact for clients — build trust-based relationships at CTO/CIO/VP level.

• Facilitate governance forums (steering committees, QBRs, escalation calls) with clarity and confidence.

• Align internal stakeholders — practice heads, resource managers, people leaders — to programme needs without bureaucratic drag.

People & Capability Development

• Lead, mentor, and grow a high-performing engineering organisation; foster a culture of ownership and continuous improvement.

• Champion individual upskilling — create structured learning pathways around AI, cloud, and modern engineering practices.

• Spot and develop next-generation delivery leaders from within the team.