AI Director, Development Engineering

Hirebridge; Bengaluru; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Greenway Health in Bangalore, India seeks an AI Director, Development Engineering to lead current and future capabilities, shape engineering strategy, and elevate delivery excellence. You will drive modern software practices, AI-enabled insights, and governance across teams in a fast-paced healthcare technology environment.

Requires 10+ years in software development, 5+ years in leadership, and a strong background in cloud, CI/CD, and architecture governance. Master’s degree preferred.

Qualifications

• Bachelor’s degree in Computer Science or related field required; Master’s degree preferred.
• Ten or more years in software development, with five+ years leading staff.
• Five+ years in software product development or management, with technology direction experience.
• Proven track record delivering enterprise software in complex environments.
• Strong leadership to drive SDLC maturity, cloud delivery, and governance.

Responsibilities

• Provide strategic leadership to product development teams across the SDLC.
• Establish and implement best practices for engineering, QA, DevOps, secure delivery, automation, and architecture governance.
• Collaborate with executives to develop vision and strategy for modern software delivery.
• Oversee design, development, debugging, interoperability, and modifications.
• Identify opportunities to improve SDLC, cloud delivery, CI/CD, quality, and operations.
• Prioritize roadmaps, resourcing, debt, and business outcomes with stakeholders.
• Utilize approved AI tools for architecture review, risk analysis, and quality reporting.
• Lead, mentor, and develop high-performing engineers.

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

Team development

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

Jira

VersionOne

Azure DevOps

TFS

CI/CD platforms

Cloud platforms

Infrastructure as code

Quality analytics

Test automation frameworks

Observability platforms

Documentation systems

AI-enabled engineering tools

Job description

AI Director, Development Engineering

Bangalore, India

Bring your best and truest self. We celebrate what makes us different and what brings us all together. At Greenway Health, we are committed to an inclusive environment and a culture of belonging as we pursue our purpose of healthier communities, successful providers, and empowered patients. We are united in our goal to build the future of healthcare technology. Join us.

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 delivery—using 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 future—and 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

Bachelor’s degree in Computer Science or a related field required. Master’s 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.

Skills & Requirements Qualifications Important Notice Regarding Recruiting Practices
Greenway Health does not accept unsolicited agency or third-party recruiter submissions unless the agency has been formally authorized in writing by Greenway Health. Any resumes or candidate information submitted without prior authorization will not be considered.
In addition, Greenway Health will never request personal financial information, payment of any kind, or sensitive data (such as Social Security numbers or bank details) during the application or interview process. If you are contacted by anyone claiming to represent Greenway Health and they request money, personal information, or anything unusual, please treat the communication as suspicious and report it immediately to [e-mail].
Greenway Health is committed to maintaining a secure, transparent, and trustworthy hiring process.