Lead AI Engineer, Director

confidential; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Childcare assistance reimbursement

Certifications sponsorship

Employee Assistance Program

Health insurance for you and dependets

Life insurance

Health screening for 35+

Job summary

Confidential in Pune, India, seeks a Lead AI Engineer at Director level to architect, develop, and deploy AI solutions across Treasury. The role centers on building scalable platforms, guiding GenAI initiatives, and delivering high-impact AI-enabled outcomes with executive visibility.

The position emphasizes AI delivery excellence, agile governance, and collaboration with data science, engineering, and platform teams to accelerate digital transformation.

Qualifications

• 18+ years of technology delivery and leadership experience.
• Deep knowledge of AI/ML, GenAI, and governance considerations.
• Excellent stakeholder and executive communication skills.
• Proven track record delivering large multi-team programs.
• Ability to guide pragmatic GenAI adoption without delivery disruption.

Responsibilities

• Build an AI platform foundational to consumption of LLMs across the company.
• Define scalable, adaptable architecture to meet evolving AI landscape.
• Own end-to-end delivery of large cross-functional programs.
• Drive agile delivery focusing on outcomes, with risk mitigation.
• Lead multiple tribal deliveries with accountability for timelines and cost.
• Interface with business, product, risk, and operations stakeholders.

Skills

AI leadership

Executive communication

Cross-functional collaboration

GenAI experience

Delivery leadership

Tools

LLMs

AI platforms

Job description

Position Overview

Job Title: Lead AI Engineer
Location: Pune, India
Corporate Title: Director

Role Description

As a Lead AI Engineer, you will stand at the forefront of innovation, architecting, developing, and deploying groundbreaking AI solutions that redefine what's possible. We are seeking a visionary and highly motivated Leader eager to leverage advanced AI models and platforms to conquer complex business challenges and accelerate digital transformation in Treasury. From intelligent automation to sophisticated conversational AI, you will guide projects utilizing a modern technology stack to forge impactful, scalable applications. This role offers a unique opportunity to shape the future of AI, delivering solutions that dramatically enhance user experiences and operational efficiencies.

What we offer you

As part of our flexible scheme, here are just some of the benefits that you'll enjoy.

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

AI Delivery & Execution Excellence

• Build an AI platform that is foundational to the consumption of LLMs within the company
• Build a scalable yet agile architecture that can adapt to changing AI landscape
• Fine Tuning and Eval as integral part of execution cycle
• Own end-to-end delivery of large, cross‑functional programs with accountability for timelines, quality, cost, and risk.
• Drive predictable delivery using Agile and hybrid delivery models, focusing on outcomes over process.
• Anticipate delivery risks early and ensure timely mitigation.
• Define and track delivery and engineering health metrics (flow, predictability, stability, and business impact).

Engineering Landscape & Technology Oversight

• Partner effectively with architects and senior engineers to ensure solutions are scalable, secure, and operable.
• Ensure adherence to engineering standards, governance, and best practices.

Agile & Operating Model Leadership

• Champion Agile principles with a delivery‑first mindset, avoiding unnecessary ceremony.
• Align teams on planning, dependency management, and execution across portfolios.
• Drive continuous improvement using data, retrospectives, and delivery insights.
• Lead multiple tribes deliveries.

Stakeholder & Executive Management

• Act as the primary interface between business, product, engineering, risk, and operations stakeholders.
• Communicate delivery status, risks, and trade‑offs in a clear, executive‑ready manner.
• Build trust through transparency, consistency, and dependable execution.

AI & Intelligent Enablement

• Identify practical opportunities to use AI/GenAI and automation to improve engineering productivity, quality, and operational efficiency.
• Ensure responsible AI adoption aligned with governance, security, and risk frameworks.
• Support teams in embedding AI‑assisted tooling into delivery and decision‑making processes.
• Familiarity with AI‑assisted engineering tools (e.g., code assistants, test generation, documentation, analytics).
• Understanding of AI system lifecycle: data readiness, model training vs. consumption, deployment, monitoring, and drift.
• Awareness of responsible AI principles, including data privacy, bias, explainability, security, and regulatory considerations.
• Experience partnering with data science, AI engineering, and platform teams to deliver AI‑enabled outcomes.
• Exposure to enterprise GenAI platforms, LLM‑based tools, or intelligent automation initiatives.
• Ability to guide teams on pragmatic adoption of GenAI without disrupting delivery or increasing operational risk.

People & Culture

• Lead and develop engineering managers and delivery leaders, fostering accountability and ownership.
• Create a culture focused on execution excellence, collaboration, and continuous learning.

Your skills and experience

18+ years of experience in technology delivery and leadership, with significant time at Director or equivalent level. Strong understanding of modern engineering ecosystems (cloud, distributed systems, DevOps, data platforms). Proven success delivering large‑scale, multi‑team initiatives. Deep experience operating in Agile enterprise environments. Excellent stakeholder, executive communication, and influence skills. Deep working knowledge of AI/ML with active experience in model performance optimization techniques, eval frameworks and GenAI applications, and governance considerations. Excellent communication skills for cross‑functional collaboration. Ability to work independently and manage multiple projects simultaneously. Proven ability to leverage AI tools to enhance Posit.