This is a remote position.We are seeking a highly accomplished Head of Engineering with deep expertise in AI, end-to-end AI product development, and enterprise-grade software engineering. The ideal candidate brings hands-on experience leading AI/ML and Generative AI projects from concept to production, combined with strong engineering leadership across cloud platforms, scalable architecture, DevOps, and product delivery. This role requires a technology visionary who can define the engineering strategy, lead high-performing teams, architect AI-driven solutions, and drive innovation across the organization. You will work closely with Product, Data Science, Innovation, and Business teams to build and scale AI-powered digital products with high reliability, performance, and security.
Responsibilities
- Understand the values and vision of the organization.
- Protect the Intellectual Property.
- Adhere to all the policies and procedures.
- Lead end-to-end delivery of AI/ML and Generative AI projects—including discovery, data strategy, model development, evaluation, deployment, and monitoring.
- Drive the AI roadmap, adoption of modern AI tools, frameworks, and best practices.
- Architect and implement AI-first product features, automation systems, and intelligent workflows.
- Oversee the integration of AI models into scalable cloud-native and enterprise systems.
- Define the technology vision, engineering standards, and long-term architectural strategy.
- Architect complex, distributed systems and cloud-native applications (GCP/AWS/Azure).
- Establish frameworks for scalable microservices, event-driven systems, and data pipelines.
- Ensure security, compliance, reliability, and cost-efficient cloud operations.
- Build, mentor, and scale high-performing teams across AI/ML, full-stack engineering, DevOps, and product engineering.
- Provide technical guidance to AI engineers, architects, and senior developers.
- Foster a culture of innovation, problem-solving, and engineering excellence.
- Drive CI/CD, DevOps maturity, MLOps pipelines, monitoring, and automation.
- Set engineering KPIs, model performance metrics, code quality benchmarks, and operational SLAs.
- Collaborate with Product and Business teams to align engineering execution with business outcomes.
Requirements
Essential Skills
Job
- Strong expertise in AI/ML, Deep Learning, Generative AI, and Prompt Engineering.
- Proven experience managing end-to-end AI project lifecycles—data prep, model training, deployment, and monitoring.
- Hands-on experience with OpenAI, LangChain, Vector Databases, NLP, vision, or LLM-based systems.
- Expertise in cloud platforms (GCP preferred, AWS/Azure).
- Strong skills in Python, Node.js, and modern frontend frameworks (React/Angular).
- Experience with Kubernetes, Docker, CI/CD, MLOps, and infrastructure automation.
- Strong understanding of API governance, data security, compliance, and scalable architectures.
Personal
- Excellent leadership, team management, and cross-functional collaboration skills.
- Ability to guide technical teams in a fast-paced environment.
- Strong decision-making, communication, and stakeholder management.
Preferred Skills
Job
- Experience building large-scale AI-driven systems or AI products.
- Strong knowledge of enterprise software architecture.
- Experience scaling engineering organizations.
- Passion for innovation, AI adoption, and digital transformation.
Personal
- Passionate about innovation, AI, and digital transformation.
- Strong business acumen and ability to collaborate with senior leadership.
- Ability to thrive under deadlines and manage multiple priorities simultaneously.
Other Relevant Information
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 18+ years of experience in engineering, with at least 5–8 years in AI/ML leadership.
- Proven track record of delivering AI-led products end-to-end.
Benefits
- This role offers the flexibility of working remotely in India.
LeewayHertz is an equal opportunity employer and does not discriminate based on race, colour, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants.
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