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AI Director, Development Engineering

Greenway Health


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 2 September 2026 (19 hours ago)
Application Deadline: 30 November 2026
Vacancies: 1 Vacancy

Job Summary

AI Director Development Engineering

Role Description

You will lead development of current and future capabilities while shaping engineering strategy delivery standards architecture direction and team performance. You will act as a change agent for modern software deliveryusing AI automation DevSecOps CI/CD cloud practices quality gates and engineering intelligence to improve how teams build and ship.

You bring strategic judgment and practical execution. We trust you to shape the futureand make it real.

Key Outcomes

Define and execute engineering strategy aligned to business and product goals.

Improve SDLC maturity cloud delivery architecture governance and quality practices.

Lead and develop high-performing teams in a fast-paced environment.

Use AI-enabled insights to improve delivery predictability technical decision-making and operational effectiveness.

Drive modernization across engineering practices tools and operating models.

Roles & Responsibilities

Provide strategic leadership to product development teams across the SDLC.

Establish and implement best practices and standards for engineering QA DevOps secure delivery automation and architecture governance.

Work with executive and senior management and interdisciplinary teams to develop vision and strategy.

Oversee analysis design programming debugging interoperability and application modification activities.

Identify opportunities to continuously improve SDLC practices cloud delivery CI/CD quality and engineering operations.

Guide prioritization and trade-offs across roadmap candidates resourcing timing technical debt and business outcomes.

Use approved AI tools to support architecture review delivery-risk analysis technical debt insights quality reporting documentation and portfolio decision support.

Lead mentor and develop high-performing individuals and teams.

Education

Bachelors degree in Computer Science or a related field required. Masters degree preferred.

Experience(years including)

Ten or more years of software development experience including complex whole lifecycle software development management. Five or more years leading staff. Five or more years in software product development or management. Experience leading technology direction preferred.

Skills

Engineering strategy SDLC transformation agile leadership cloud application development CI/CD architecture governance quality practices DevSecOps technical debt management roadmap trade-offs stakeholder influence change leadership and team development.

Abilities

Set vision translate strategy into execution make complex trade-offs lead through change influence executives and teams develop leaders evaluate technology direction and govern responsible AI-enabled engineering practices.

Tools & Technologies

Jira VersionOne Azure DevOps TFS MS Office CI/CD platforms cloud platforms infrastructure as code tools quality analytics test automation frameworks observability platforms documentation systems engineering intelligence tools and approved AI-enabled engineering and leadership tools.

AI Usage and Accountability Requirements

Use approved AI tools to support strategy development architecture analysis technical debt review delivery-risk analysis quality insights documentation stakeholder communication and portfolio trade-off analysis. Validate AI-generated outputs before use. Do not enter sensitive restricted customer healthcare source code financial regulatory or production data into unapproved tools. Human ownership remains required for strategy architecture direction people leadership budget influence risk acceptance stakeholder alignment and delivery outcomes.

Success Measures / Accountable Outcomes

Engineering strategy execution SDLC maturity product delivery quality cloud and CI/CD adoption technical debt reduction team performance roadmap trade-off quality stakeholder trust responsible AI adoption and measurable improvement in product and engineering outcomes.

AI Competency Alignment & Proficiency Expectations

AI Competency

Target Proficiency

AI-Assisted Software Development

Advanced

AI-Driven Code Review and Quality Assurance

Advanced

AI-Driven DevOps and CI/CD Automation

Advanced

AI-Augmented Software Architecture Design

Advanced

AI-Enabled Technical Debt Management

Advanced

AI-Enabled Product Prioritization

Advanced

AI-Driven Project Portfolio Analytics

Advanced

Predictive Workforce Planning

Advanced

Authority and Autonomy

Establishes operational objectives policies procedures and work plans and delegates assignments. Develops modifies and executes policies that affect immediate operations and may have company-wide effect. Accountable for department budget and business impact.


Required Experience:

Director


About Company

Delivering advanced EHR solutions for ambulatory practices, transforming healthcare IT through AI-enabled automation, enhanced engagement, and patient-centric care.

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