Senior Agentic AI Developer jobs in United States
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Cognizant · 2 days ago

Senior Agentic AI Developer

Cognizant is a global leader in technology solutions, and they are seeking a Senior Agentic AI Developer to join their dynamic team. In this role, you will be responsible for launching and implementing GenAI agentic solutions to enhance the management of large-scale production environments, collaborating with cross-functional teams to drive innovation and deliver impactful solutions.

ConsultingIndustrial AutomationInformation TechnologySoftwareSoftware Engineering
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Responsibilities

Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access
Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations
Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability
Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes
Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk
Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load
Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness
Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns

Qualification

PythonLarge Language ModelsMachine Learning SystemsCloud InfrastructureData Processing PipelinesAnalytical Problem-SolvingAccountabilityAutonomyClear CommunicationCreative Problem SolverOwnership

Required

5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred
3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows
Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution)
Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude)
Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions
Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship

Preferred

Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation)

Benefits

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

Company

Cognizant

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Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era.

Funding

Current Stage
Public Company
Total Funding
$0.24M
Key Investors
Summit Financial Wealth Advisors
2025-03-08Post Ipo Equity
2016-11-18Post Ipo Equity· $0.24M
1998-06-19IPO

Leadership Team

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Ravi Kumar S
Chief Executive Officer
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Anil Cheriyan
CTO / EVP Strategy & Technology
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Company data provided by crunchbase