Manager AI Data Engineer

About Lumen Technologies Lumen Technologies is a global technology company that delivers innovative communication and network solutions. Our mission is to empower businesses and individuals to connect, grow, and thrive in the digital age. With a focus on customer experience and operational excellence, we strive to provide cutting-edge solutions that meet the evolving needs of our customers.

RR No. 13708 - Manager AI Data Engineer Role Summary The Engineering Manager / AI Delivery Manager is a senior leadership role responsible for owning end-to-end delivery of AI-driven initiatives within Lumen's FinTech organization. Based in India, this leader will build, manage, and mentor a team of 5–10 engineers, translating complex business problems into actionable technical blueprints and prioritized delivery plans. The role demands a strong blend of technical depth and people leadership, operating in a fast-paced, cross-regional environment with stakeholders spanning India and North America. The ideal candidate thrives on driving clarity from ambiguity, establishing engineering standards, and fostering a culture of continuous improvement while ensuring that AI-powered solutions are delivered on time, at scale, and with enterprise-grade quality.

Responsibilities

• Own delivery of AI-driven initiatives end-to-end, from planning through execution to production deployment.
• Translate business problems into technical blueprints, prioritized backlogs, and actionable delivery plans.
• Provide technical oversight for architecture, security, scalability, and reliability of all team deliverables.
• Build, coach, and mentor a team of engineers at varying experience levels, fostering professional growth and accountability.
• Partner with stakeholders across finance, IT, security, and leadership functions in both India and North America.
• Drive Agile delivery practices, sprint execution, and continuous improvement across the team.
• Manage capacity planning, resource allocation, and release management to ensure timely and predictable delivery.
• Ensure strong alignment between technical execution and business outcomes, reporting progress and risks to leadership.
• Establish and enforce team standards for code quality, documentation, testing, observability, and security.
• Coordinate effectively across time zones to maintain seamless communication, collaboration, and delivery cadence

Required Skills & Qualifications

• 12+ years of progressive experience in software engineering, data engineering, or AI engineering roles.
• Demonstrated experience managing and leading technical teams of 5–10 engineers.
• Strong understanding of AI/ML systems, agent-based architecture, and modern AI development patterns.
• Proficiency with cloud platforms, specifically Microsoft Azure and Amazon Web Services (AWS).
• Experience with modern data platforms, APIs, system integration, and enterprise data architecture.
• Familiarity with agent orchestration frameworks such as LangChain, Semantic Kernel, CrewAI, or AutoGen.
• Familiarity with MCP servers and secure AI tool integration patterns.
• Strong communication, prioritization, and stakeholder management skills.
• Proven experience working in cross-regional or globally distributed teams.

Preferred

• Experience scaling AI solutions in regulated or enterprise environments.
• Vendor management and technical blueprint ownership experience.
• Background in Finance, FinTech, or enterprise shared services organizations.
• Experience managing CI/CD pipelines through Git repositories.
• Proficiency with Agile/Scrum methodologies and delivery tooling (e.g., Azure DevOps, Jira).
• Experience with organizational change management related to technology adoption. "

We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any form of payment from candidates at any stage of the recruitment process. If anyone claims to offer employment opportunities in our company in exchange for money or any other benefit, please treat it as fraudulent and report it immediately ." Engineering Manager, Delivery, Data Engineer, Architecture, AI ML, SQL Programming