Director - Engineering - IT

KEY RESPONSIBILITIES :
Strategic Leadership & Vision :
- Lead the engineering organization, including Engineering Managers and technical teams, to deliver scalable, reliable, and secure platforms.

- Partner with executive leadership to define and execute the broader technology strategy and product roadmap.

- Champion AI and ML initiatives across the company to infuse intelligent capabilities into products and internal workflows.

- Establish clear engineering KPIs and drive accountability against goals such as delivery velocity, quality, and customer satisfaction.
Team Leadership & Development :
- Build, grow, and mentor a high-performing engineering organization capable of delivering complex SaaS and AI-enabled products.

- Foster a culture of ownership, innovation, and continuous improvement.

- Guide managers to develop strong people-management practices including performance management, career growth, and recruitment.
Technology & Architecture Oversight :
- Ensure world-class engineering practices, including architecture reviews, coding standards, automated testing, CI/CD, and DevOps discipline.

- Drive consistent and scalable architecture patterns across product teams.

- Partner closely with Product Management to make informed technical decisions that align with business priorities.

- Evaluate AI frameworks, tooling, and emerging technologies to ensure company solutions remain competitive and innovative.

- Work with data engineering and ML teams to establish robust data pipelines and model deployment practices.

- Ensure strong documentation and operational readiness across cloud services.
Cross Functional Collaboration :
- Partner with Product, Data, Security, and Operations teams to ensure alignment and successful execution.

- Promote strong communication channels between engineering and business stakeholders.

- Act as a technical evangelist and trusted advisor to internal teams and external partners.
REQUIRED SKILLS & EXPERIENCE :
Technical & Leadership Experience :
- 15+ years of software engineering experience with progressive leadership responsibilities.

- 5+ years of experience managing engineering managers and technical leaders in a fast-paced environment.

- Proven experience with large-scale SaaS platforms and modern cloud infrastructure (AWS experience highly preferred).

- Deep understanding of software architecture, distributed systems, and operational excellence.
AI/Machine Learning Expertise :
- Hands-on experience with AI/ML technologies, including productionizing models, integrating API-based services, or building ML-driven features.

- Strong understanding of current and emerging AI patterns (e.g., generative models, NLP, predictive analytics).

- Experience with AI tooling, platforms (e.g., AWS SageMaker, open-source frameworks), and ML Ops practices.
Process & Delivery & Business Acumen :
- Strong track record driving engineering excellence through robust processes (CI/CD, automated testing, code quality, deployment practices).

- Experience leading large cross-team delivery efforts with measurable outcomes.

- Ability to connect technical strategy with business outcomes and customer value.

- Experience working directly with executives and non-technical leadership
Required Availability :
- Must be available during overlapping US business hours to support global teams and customers; if required

- Flexible to collaborate with teams across India and the US.
Job Location : Ahmedabad (On Site)