Development Manager - AI Delivery Factory

Responsibilities

• Navigate the Matrix: Help the delivery team maintain momentum by acting as the primary technical liaison for internal LDC teams (Cloud, Networking, Cybersecurity, Architecture). Unblock the team by facilitating the right technical contacts across the enterprise.
• Manage Complex Dependencies: Proactively track and coordinate technical dependencies between our distinct products and platforms, to ensure seamless integration and predictable delivery as the team scales.
• Technical Governance & Engineering Excellence Enforce Architecture Standards: Ensure all technical work strictly follows LDC's approved frameworks, change controls, security requirements, and release practices as defined by the Internal Architect.
• Raise the Quality Bar: Address variability in vendor output by mandating robust QA practices, automated testing, and strict CI/CD discipline. Validate the technical quality of the vendor's work.
• Drive Operational Readiness & Observability: Ensure features are built to be monitored and supported. Mandate sufficient logging, tracing, clear documentation, and proper support handover.
• Challenge the Status Quo: Detect delivery risks early. Challenge the use of off-pattern solutions, unapproved frameworks, poor testing discipline, or unnecessary code duplication.
• Maintain Delivery Visibility: Maintain clear oversight of vendor capacity, staffing, and execution risks, escalating systemic vendor issues quickly to the Product Managers or SDMs.
• Mindset & Ownership: Committed Ownership: Take full accountability for technical delivery outcomes, even when the path isn't perfectly mapped out. Be willing to step outside your comfort zone to solve problems rather than waiting for instructions.
• Entrepreneurial Agility: Move fast, adapt to changing requirements, and proactively identify areas for improvement without needing a highly structured, predefined set of daily tasks.
• Comfort with Ambiguity: Thrive in a dynamic environment where processes are evolving. Confidently take a loosely defined problem, ask the right questions, and build a solution from scratch.
• Minimum of 5 years of experience in software engineering or technical delivery with a recent focus on platform development or GenAI applications.
• Proven track record of driving excellence in technical delivery. Considered a strong advantage if this has been done with external vendors, or offshore development teams.
• Demonstrated experience navigating complex enterprise environments (e.g., coordinating with Cloud, Cybersecurity, and Networking teams) to successfully drive development velocity.
• Strong technical foundation in modern Software Development Life Cycle (SDLC) best practices, including

Additional Information

LDC is pursuing an exciting digital journey, driving industrialization of IT delivery, and innovating with cutting-edge technology (Cloud, AI and Machine Learning, Agile DevOps/ SecOps, data mesh, RPA, research repositories). We are at the forefront of integrating cutting-edge Artificial Intelligence (AI) and Generative AI (Gen AI) technologies to deliver innovative solutions across our product lines. To strengthen our capabilities, we have established an AI Delivery Center in India. This center is a vital component of our global AI initiatives, collaborating with product teams to transform business challenges into data-driven, AI-powered solutions. We are seeking a highly skilled and experienced AI Development Manager to lead and manage our external delivery team in India . Based in India and working in an international team, you will act as LDC's "boots on the ground" to ensure our GenAI applications and platforms are delivered with high velocity , rigorous quality , and strict adherence to internal standards. We operate in an agile, fast-paced environment that demands an entrepreneurial mindset. You will not simply execute a rigid checklist; you will be handed complex, ambiguous problems and expected to take full ownership, define the path forward (with support), and drive solutions. Your core mission is to drive SDLC best practices, drive velocity, remove technical and organizational blockers, enforce technical governance, and cultivate a culture of engineering excellence across multiple interdependent product streams.

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