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AI& D Delivery Lead

Job in Camden, Camden County, New Jersey, 08100, USA
Listing for: Incedo Inc.
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We

are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business

and technology across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.

We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed,

and long-term impact.

Incedo delivers ROI from AI @ Scale through the “Power of 3”:

  • Engineering & Operations excellence
Profile Brief

Incedo, a rapidly expanding Digital, Data, and AI firm, seeks an Associate Delivery Director/Director to lead and scale its AI & Data initiatives within the Telecom sector for global clients. This role demands a blend of deep technical leadership, strategic vision, hands‑on delivery expertise, and seamless collaboration with our strong India-based teams to drive impactful solutions, with a core focus on GenAI and agentic workloads.

The ideal candidate will be a seasoned technologist with a strong track record in delivering complex AI/ML-driven projects, particularly within the telecommunications domain, and possess the cultural awareness and communication skills to effectively work with distributed teams on cutting‑edge AI applications, specifically those involving GenAI and agentic systems.

Responsibilities Client Technical Engagement
  • Serve as a technical advisor to clients, communicating complex technical concepts in a clear and concise manner, with a strong focus on the capabilities and limitations of GenAI, agentic systems, and AI in telecom networks, while coordinating with India‑based technical resources.
  • Conduct technical workshops and presentations to demonstrate Incedo's AI/ML capabilities and solutions, covering the full range of project types, including GenAI applications, agentic platforms, and network AI solutions, ensuring alignment with India‑based subject matter experts.
  • Lead technical discovery sessions to understand client requirements and design tailored solutions, spanning all project types, with a primary focus on those involving GenAI, agentic workloads, and telecom network AI, collaborating with India‑based architects and engineers.
Technical Delivery Management
  • Oversee end‑to‑end delivery of diverse AI & Data projects, including AI&D platform operations and support, data engineering, AI/ML modeling, GenAI, agentic workflows, business enablement, AI in telecom network systems, and automation projects, emphasizing Agile methodologies, CI/CD pipelines, and Dev Ops practices, with a focus on collaborative workflows between US and India teams.
  • Manage project life cycles, ensuring adherence to technical specifications, performance benchmarks, and security protocols, while effectively coordinating with distributed resources, particularly for complex GenAI and agentic system implementations.
  • Implement robust data governance and quality assurance frameworks for AI/ML model development and deployment, ensuring alignment across all team locations, with specific attention to the unique requirements of GenAI, agentic, and telecom network‑focused projects.
  • Manage cloud‑based deployments and model operationalization across all project types.
  • Design and architect scalable AI/ML solutions, with a primary focus on agentic systems and GenAI applications, and including solutions for AI in telecom network systems, leveraging cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes), fostering collaborative development practices between US and India teams.
  • Evaluate and select appropriate AI/ML algorithms, frameworks (Tensor Flow, PyTorch, scikit‑learn), and tools for specific business problems, with a deep emphasis on LLMs, diffusion models, and reinforcement learning for agentic behavior and telecom network intelligence, facilitating knowledge sharing and technical alignment across teams.
  • Integrate generative AI (GenAI) capabilities into existing data and analytics workflows, with core focus on exploring use cases like automated content generation, code synthesis, intelligent chatbots, autonomous agents, and…
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