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Sr AI Developer - Telecom Transformation

Job in Chicago, Cook County, Illinois, 60684, USA
Listing for: Capgemini
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 82082 - 193440 USD Yearly USD 82082.00 193440.00 YEAR
Job Description & How to Apply Below
Sr AI Developer - Telecom Transformation

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities.

Where you can make a difference. Where no two days are the same.

** Location*
* This is Onsite role in Denver CO

** About the role you're considering*
* We are looking for a customer-facing Lead AI Developer to drive Agentic AI-driven telecom transformation programs (large scale NOC / SOC / Operations, etc.), leading customer workshops, shaping solution roadmaps, defining AWS-based architectures and advising business, technology and executive stakeholders.

** Your Role*
* -    Serve as the primary onsite Lead Architect for Agentic AI-driven telecom transformation across NOC, SOC, network operations, service assurance and incident management domains.

-    Lead customer workshops and discovery sessions to assess current-state NOC/SOC operating models, alarm flows, ticket life cycles, triage processes, escalation paths and operational pain points.

-    Define Agentic AI-driven solution architectures for alarm correlation, event deduplication, anomaly detection, root-cause analysis, incident enrichment, ticket automation and closed-loop remediation.

-    Design integration patterns for alarms, events, incidents, topology, inventory, logs, metrics, traces and operational knowledge across telecom NOC/SOC ecosystems.

-    Partner with AWS, customer network teams, operations teams and engineering stakeholders to design secure, scalable and cloud-native Agentic AI telecom platforms.

-    Lead solutioning, PoCs, end-to-end technical delivery and executive presentations focused on operational efficiency, service reliability, network resilience and measurable business outcomes.

-    Collaborate closely with Offshore teams, business, network, security, operations, product and engineering stakeholders throughout the transformation lifecycle.

** Your skills and experience*
* -    10 years of experience in software development, solution delivery, or technology consulting.

-    Practical experience defining AI, GenAI, or Agentic AI use cases for enterprise operations.

-    Ability to translate operational challenges into agent features, workflows, user stories, and acceptance criteria.

-    Understanding of AI agents, LLMs, RAG, prompt engineering, APIs, integrations, and human-in-the-loop controls.

-    Strong understanding of telecom operations, particularly NOC OR  (OSS, incident, ticket, and service-assurance processes).

-    Sound knowledge of software architecture, SDLC, Agile delivery, testing, deployment, and production support.

-    Proven experience conducting client workshops, requirement-discovery sessions, and solution demonstrations.

The base compensation range for this role in the posted location is: $82,082 - $193,440/Year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
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