Engineering Manager

About the Job

What makes Techjays an inspiring place to work

At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change.

Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises.

Be part of a company thats pushing the boundaries of digital transformation. At Techjays, youll work on exciting projects that redefine industries, innovate with the latest AI technologies, and contribute to solutions that create real-world impact.

We are looking for an experienced Engineering Manager – AI to lead high-performing engineering teams while driving the successful delivery of AI-powered products and solutions. This role is ideal for a strong technical leader who is passionate about mentoring engineers, shaping scalable architectures, and fostering engineering excellence. You will collaborate closely with clients, product teams, architects, and cross-functional stakeholders to build innovative AI solutions that solve complex business problems.

Primary Skills

• Engineering Leadership, AI Solutioning & Architecture, Software Engineering, Agile/Scrum Methodologies, Technical Strategy, Team Management & Mentorship, Stakeholder Management, Engineering Excellence

Secondary Skills

• AI/ML Platforms & Frameworks, Cloud Platforms (AWS, Azure, GCP), DevOps & CI/CD, Solution Architecture, Jira, System Design, Change Management, Communication & Leadership

Experience: 10+ Years

Work Location: Coimbatore

Must-Have Skills

• 10+ years of experience in software engineering, with at least 3–5 years of experience leading engineering teams.
• Strong technical expertise in designing and delivering scalable AI-enabled applications and enterprise software solutions.
• Hands-on experience in solution architecture, system design, and modern software engineering practices.
• Strong understanding of AI/ML concepts, cloud-native architectures, distributed systems, and microservices.
• Experience leading Agile engineering teams and driving predictable, high-quality software delivery.
• Excellent people management skills with a proven ability to mentor, coach, and grow engineering talent.
• Strong stakeholder management and communication skills, with the ability to collaborate effectively with clients and cross-functional teams.
• Experience establishing engineering best practices around code quality, testing, CI/CD, security, and observability.
• Strong analytical, problem-solving, and decision-making skills.
• Passion for leveraging AI-powered development tools and emerging technologies to improve engineering productivity.

Roles & Responsibilities

• Lead, mentor, and inspire high-performing engineering teams, fostering a culture of ownership, innovation, collaboration, and continuous learning.
• Drive technical direction and engineering strategy across multiple AI initiatives while ensuring scalability, reliability, and maintainability.
• Partner with architects and senior engineers to design robust technical solutions and make sound architectural decisions.
• Collaborate with clients, product managers, and business stakeholders to understand requirements and translate them into high-quality technical solutions.
• Ensure engineering teams consistently deliver high-quality software through effective planning, technical leadership, and Agile execution.
• Guide teams in adopting engineering best practices, including clean code, automated testing, CI/CD, code reviews, security, and performance optimization.
• Identify technical risks early, remove engineering roadblocks, and support teams in making informed technical decisions.
• Build engineering capability through hiring, mentoring, performance coaching, career development, and succession planning.
• Drive continuous improvement by evaluating engineering metrics, improving development processes, and promoting operational excellence.
• Encourage innovation by evaluating and adopting modern AI technologies, frameworks, and developer tools that enhance engineering efficiency and product quality.
• Work closely with cross-functional teams to ensure seamless execution while maintaining a strong focus on customer success and business outcomes.

What We Offer

• Best in packages
• Paid holidays and flexible paid time away
• Casual dress code & flexible working environment
• Medical insurance covering self & family up to 4 lakhs per person
• Work in an engaging, fast-paced environment with ample opportunities for professional development
• Diverse and multicultural work environment
• Be part of an innovation-driven culture that provides the support and resources needed to succeed