Job Description
Job Title: AI Strategist - Partner
City: Atlanta, New Jersey
State/Province: Georgia, New Jersey
Posting Start Date: 4/14/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at
Job Description:
Job Description
Role - AI Strategist
Position Summary
We are seeking a dynamic and client-facing AI Strategist to join our team of expert advisors. In this role, you will work directly with our global Fortune 500 clients to help them define and execute their enterprise AI strategies. You will serve as a trusted technical advisor, guiding clients in the architecture, design, and governance of cutting-edge generative and agentic AI solutions.
This is a hands-on, client-facing architecture and strategy role. You will collaborate with client stakeholders-from technical teams to business leaders-to translate their strategic objectives into tangible AI-driven outcomes. The ideal candidate is a skilled technologist with a passion for AI, strong architectural skills, and a proven ability to advise and guide customers on their technology journey.
Key Responsibilities
Client AI Strategy & Architecture
You will work directly with clients to help shape their enterprise AI strategy, focusing on Generative AI, Agentic AI, and Machine Learning. Your duties will involve guiding client teams in designing robust AI operating models, reference architectures, and technology roadmaps. A key function will be to lead workshops and prototyping sessions to help clients evaluate and select the right AI technologies and architectural patterns for their needs.
Client Governance & Risk Advisory
You will be responsible for advising clients on how to implement comprehensive AI governance frameworks that align with regulations like the EU AI Act and NIST AI RMF. This includes helping them establish responsible AI standards for model risk management, bias mitigation, and data privacy. You will guide clients in assessing AI risk and building the capabilities to report on compliance and model performance.
Client Enablement & Solution Advisory
In this capacity, you will serve as a key technical advisor to client project teams and business leaders, helping them apply AI effectively and confidently. You will lead client-facing engagements, including architectural design sessions and technology assessments. A critical part of your role will be to create and deliver technical documentation, architectural blueprints, and training materials to enable client success.
͏ Qualifications
Required Qualifications
Candidates must have 10+ years of experience in enterprise technology, with at least 3+ years in a client-facing role such as a senior solutions architect, technology consultant, or senior AI/ML engineer. You must have hands-on experience building or implementing solutions using Generative AI, including RAG architectures and LLM orchestration. Strong architectural skills across the technology stack (backend, databases, cloud, and integration) are essential, along with at least one professional cloud architecture certification (AWS or Azure). You must also have experience guiding customers or internal teams on AI best practices, governance, or technology standards.
Preferred Qualifications
A Bachelor's or Master's degree in a relevant technical discipline is preferred. We value active participation in the tech community, such as contributions to open-source projects or speaking at meetups. Experience with enterprise AI platforms like Databricks, Palantir Foundry, or Snowflake Cortex is also a plus, as is domain expertise in key verticals such as Retail, Banking, Healthcare, or Manufacturing.
͏ Technology Landscape
Agentic AI Strategy
Microsoft AutoGen, Google ADK, OpenAI Agents SDK, LangGraph, CrewAI, Semantic Kernel; agent orchestration patterns, multi-agent architectures, Model Context Protocol (MCP), agent registries, enterprise guardrails
GenAI & RAG
LangChain, LlamaIndex, Hugging Face Transformers, OpenAI API, Claude API, Gemini API; prompt engineering, function calling, structured outputs, RAG architecture patterns, evaluation frameworks (Ragas, LangSmith)
AI Governance & Risk
Responsible AI frameworks (NeMo Guardrails, Giskard), model explainability, bias detection, AI audit practices, EU AI Act, NIST AI RMF, ISO 42001 awareness
ML Platforms & Serving
MLflow, Weights & Biases, SageMaker, vLLM, Ollama, BentoML; experiment tracking, model versioning, production serving, drift monitoring
AI Data & Vector
Faiss, Pinecone, Chroma, Weaviate, pgvector, Elasticsearch, Azure AI Search, Neo4j; embedding strategies, knowledge graph architecture
Enterprise AI Platforms
Databricks, Palantir Foundry, Snowflake Cortex, Azure OpenAI Service, AWS Bedrock, GCP Vertex AI; platform evaluation and selection
Cloud & Infrastructure
AWS (certified), Azure (certified), GCP/OCI; multi-cloud DR, IaC (Terraform, Pulumi, CloudFormation), service mesh (Istio, Linkerd)
Distributed Systems
Kafka, Flink, Spark Streaming, Redis, RabbitMQ; event-driven architecture, CQRS, saga patterns, API gateway (Kong, Apigee), GraphQL, gRPC
Languages / Frameworks
Python/FastAPI, Java/Spring Boot, Node.js/React, Angular, .NET, Flutter
Data Architecture
Snowflake, Databricks, PostgreSQL, MongoDB, Neo4j, Oracle, Elasticsearch, Redshift; data mesh, lakehouse, master data governance
DevSecOps / Observability
Docker, Kubernetes, Helm, ArgoCD, GitHub Actions, Jenkins, Terraform; Datadog, Dynatrace, Splunk, Grafana/Prometheus, OpenTelemetry, Veracode, Snyk, SonarQube
EA / Solution Arch
TOGAF, SparxEA, Archimate, PlantUML, Prolaborate, LeanIX, Mega HOPEX, C4 Model, Structurizr, draw.io
Integration / iPaaS
MuleSoft, IBM Streamsets, Azure Integration Services, AWS Step Functions, Boomi, Informatica
AI in SDLC
Claude Code, GitHub Copilot, Cursor; AI-assisted code review, test generation, and engineering productivity measurement
The expected compensation for this role ranges from $190,000.00 to $265,000.00.
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Job Tags
Minimum wage, Local area