Role Description
- Job Title : Manager 2. Job Summary : The mid senior architect of the Frontier pod. Having graduated from hands on engineering the Master owns the design and governance of agentic systems within a domain sets the quality bar for the pods build and is the principal technical advisor to both the pod and the client. Translates complex requirements into scalable AI solutions governs orchestration and quality and mentors Frontier Engineers. The connective tissue between engineering execution and enterprise architecture. Works acro 3. Experience : 8 - 12 years 4. Required Skills : Technical Skills: RAG Microsoft Copilot Studio Agentic AI Generative AI Enterprise Architecture Domain Skills: 5. Nice to have skills : Domain Skills: 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : Design and deploy custom agents and agentic workflows govern permissions context sharing and data access. Architect agentic deployments on enterprise platforms design trust layer and cross agent governance. Define AI orchestration architecture and state tool calling and failure mode patterns for the domain. Design agentic quality assurance frameworks agentic test orchestration and synthetic data strategy. Engineer enterprise knowledge bases ontologies and retrieval pipelines for agent grounding at scale. Translate complex domain requirements into AI functional specifications for the pod. 9. Job Location : Primary Location :USNYNYOA02(ITUSA New York NY-550 W 34th St-COG) Alternate Location :NA NA Alternate Location 1 :NA NA 10. Job Type : Manager [50GR02] 11. Demand Requires Travel? : No 12. Certifications Required : BE ENgineering
Salary and Other Compensation:
The annual salary for this position is between $150-160Kdepending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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