Agentic AI Architect, Charlotte, North Carolina, United States

Job Title: Agentic AI Architect

Role Summary

The Agentic AI Architect is responsible for designing, building, and operationalizing autonomous AI systems (AI agents) that can reason, plan, and execute tasks across enterprise ecosystems. This role combines deep expertise in AI/ML, Generative AI, distributed systems, and enterprise architecture to enable intelligent, self-orchestrating workflows that enhance business productivity and decision-making.

Key Responsibilities

1. Architecture & Design

Define end-to-end Agentic AI architecture frameworks leveraging LLMs, multi-agent systems, and orchestration layers
Design autonomous AI agents capable of planning, reasoning, memory management, and tool usage
Establish reference architectures for enterprise-grade AI applications (cloud-native, scalable, secure)
Integrate AI agents with enterprise systems (Data Platforms, ERP, CRM, APIs, and event-driven systems)

2. Agentic AI Development

Build and deploy multi-agent systems using frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or similar
Implement agent orchestration patterns (planner-executor, reflection loops, self-healing agents)
Develop agents with capabilities including:
- Task decomposition and planning
- Contextual reasoning and chaining
- Memory (short-term, long-term, vector-based retrieval)
- Tool calling and API integrations

3. GenAI & LLM Integration

Architect solutions leveraging leading LLMs (Azure OpenAI, OpenAI, Anthropic, etc.)
Implement RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS, Pinecone, Azure AI Search, etc.)
Optimize prompt engineering, fine-tuning, and grounding strategies
Ensure efficient token usage, latency, and cost optimization

4. Enterprise Integration

Integrate Agentic AI solutions with:
- Data ecosystems (Azure Databricks, Synapse, Snowflake)
- Workflow tools (ServiceNow, Power Platform, custom enterprise apps)
- APIs, microservices, and event-driven architectures
Enable AI-driven automation across business processes

5. Governance, Security & Responsible AI

Define AI governance frameworks (auditability, compliance, explainability)
Implement guardrails for safe and responsible AI usage
Ensure data privacy, model security, and regulatory compliance
Design monitoring mechanisms for hallucination detection and agent reliability

6. Performance Optimization & Scalability

Optimize inference performance, caching strategies, and execution flows
Design scalable multi-agent systems across distributed/cloud environments
Monitor throughput, reliability, and system health

7. Leadership & Strategy

Lead architecture discussions with stakeholders and executive leadership
Drive AI adoption strategy and roadmap across business units
Mentor engineering teams on Agentic AI best practices
Evaluate emerging tools, frameworks, and innovations in AI ecosystems

Required Qualifications

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field

Experience

10+ years in software engineering, data engineering, or enterprise architecture
3–5+ years in AI/ML or Generative AI solution development
Hands-on experience with LLM-based applications and orchestration frameworks

Required Technical Skills

AI/ML & GenAI

LLMs, prompt engineering, fine-tuning
RAG, embeddings, vector databases
Multi-agent architectures and agent frameworks

Programming

Python (primary), with experience in AI libraries
Familiarity with Java/Scala/Node.js (optional but useful)

Cloud Platforms

Azure (preferred), AWS, or GCP
Azure OpenAI, Azure AI Studio, Databricks

Data & Platforms

Data engineering ecosystems (Databricks, Snowflake, Synapse)
REST APIs, microservices, event streaming (Kafka, Event Hub)

DevOps & MLOps

CI/CD pipelines, Docker, Kubernetes
Monitoring, logging, experiment tracking

Preferred Skills

Experience with Autonomous AI systems / AI agents in production
Knowledge of knowledge graphs and semantic search
Exposure to reinforcement learning or adaptive systems
Experience in Insurance/Financial Services domain (nice to have for enterprise roles like AIG)

Key Competencies

Strategic thinking and enterprise architecture design
Strong problem-solving and system design skills
Excellent stakeholder communication and leadership abilities
Ability to translate business requirements into AI solutions

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*

We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.

Salary and Other Compensation:

Applications will be accepted until July 29, 2026,

The annual salary for this position is between $ 90,000 - $ 150,000 depending 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 law.

Sobre a Cognizant
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram resultados tangíveis e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em cognizant.ai ou @cognizant.

A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.

Informações adicionais de emprego
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.

Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.

Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.