Director of AI/ML

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of AI/ML in India. This is a high-impact leadership opportunity for an experienced AI/ML expert to build and scale advanced agentic AI delivery capabilities within a fast-growing global data and cloud ecosystem. You will lead the development of innovative AI/ML platforms, large language model solutions, and cloud-native architectures that solve complex enterprise challenges at scale. The role combines hands-on technical leadership, strategic consulting, organizational scaling, and client engagement within a highly collaborative and distributed global environment. You will work closely with global engineering leaders, architects, delivery teams, and executive stakeholders to shape AI strategy, accelerate innovation, and deliver measurable business outcomes. The position also offers strong exposure to cutting-edge technologies across generative AI, agentic frameworks, MLOps, cloud platforms, and enterprise transformation initiatives. Ideal for visionary leaders passionate about AI innovation and building high-performing engineering organizations, this opportunity offers the chance to influence the future of enterprise AI delivery on a global scale.
• Accountabilities: Lead the design, architecture, and delivery of production-grade AI/ML and agentic AI solutions for enterprise clients across multiple industries. Build and scale a high-performing India-based AI/ML delivery organization, including hiring, mentoring, and developing engineering and architecture teams. Translate complex business challenges into scalable technical solutions leveraging LLMs, cloud-native AI/ML platforms, and modern orchestration frameworks. Drive end-to-end project execution from discovery and solution design through deployment, optimization, and production support. Collaborate with global leadership, engineering, analytics, and partner teams to align technical execution with strategic business objectives. Establish engineering best practices across SDLC processes, testing, observability, governance, and production readiness standards. Act as a trusted advisor to senior stakeholders and executive leadership by communicating technical strategy, business value, ROI, and delivery risks effectively. Develop reusable accelerators, frameworks, and scalable delivery models to improve efficiency and consistency across engagements. Support strategic growth initiatives through thought leadership, client workshops, partner collaboration, and go-to-market activities. Resolve complex delivery challenges, escalations, and cross-functional coordination issues with strong ownership and leadership. Requirements: 14–18 years of experience within IT services, consulting, or technology organizations, with extensive exposure to AI/ML solution delivery. 8+ years of hands-on experience architecting and implementing enterprise-grade AI/ML platforms and machine learning systems. 5+ years of leadership experience building and scaling engineering organizations in fast-paced or Zero-to-One environments. Strong expertise in Large Language Models (LLMs), agentic AI architectures, retrieval frameworks, and orchestration tools such as LangChain or LlamaIndex. Deep knowledge of cloud AI/ML ecosystems including AWS SageMaker, Bedrock, GCP Vertex AI, Azure ML, Databricks, or equivalent platforms. Proven experience deploying scalable machine learning solutions in production with strong understanding of MLOps, monitoring, automation, and lifecycle management. Demonstrated success delivering projects in consulting or client-facing environments, including fixed-price and outcome-based engagements. Excellent communication and stakeholder management skills, with the ability to influence technical and non-technical audiences, including executive leadership. Experience leading distributed global teams and collaborating across multiple regions and time zones. Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degrees are considered a plus. Industry expertise in sectors such as healthcare, retail, or manufacturing is advantageous. Strong ownership mindset, problem-solving ability, and passion for innovation in AI and emerging technologies. Benefits: Remote-first work environment with flexible collaboration across global teams. Comprehensive medical insurance coverage for employees and family members. Additional medical coverage support for parents. Term life and personal accident insurance. Wellness allowance and broadband reimbursement. Paid certifications and continuous professional development opportunities. Access to mentorship, learning programs, and challenging enterprise-scale AI projects. Performance-driven culture with strong opportunities for career growth and leadership development. Inclusive and collaborative workplace focused on transparency, autonomy, and innovation. Additional incentives and bonuses tied to approved content creation and professional contributions.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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