AI/ML Solution Architect
City: Tampa
State/Province: Florida
Posting Start Date: 3/5/26
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 www.wipro.com.
Job Description:
Job Description
Location - Dallas, TX, Tampa, FL, NJ/NY
Role Summary
We are seeking an AI Architect with deep hands-on experience in AI/ML and Generative AI to design and govern end-to-end solutions across application, data, and infrastructure layers. The Architect will own reference architectures, lead solution shaping, and ensure responsible AI practices across discovery, build, and run-covering LLM/RAG, agentic AI, LLMOps/MLOps, and cloud-native delivery.
Key Responsibilities
Architecture & Design
Define and evolve reference architectures for AI-powered solutions spanning data ingestion → model orchestration → inference services → application integrations; ensure scalability, security, and observability.
Select and integrate LLMs (Azure OpenAI, Google, AWS) and design RAG pipelines with vector stores (e.g., Pinecone, FAISS, Azure Cognitive Search) and prompt strategies; optimize for latency/cost/accuracy.
Architect agentic AI components (multi-agent workflows, gateways, registries, protocol interoperability) for complex enterprise use-cases; establish guardrails and governance.
Lead solution reviews, threat modeling, and Responsible AI compliance (privacy, bias, explainability, auditability).
Build, Integrate & Automate
Guide engineering on LLMOps/MLOps (model lifecycle, feature stores, CI/CD for ML, telemetry, A/B & canary releases) and integrate with DevOps toolchains; automate infra as code and pipelines for AI services.
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Orchestrate data and model services via microservices, event-driven patterns, and secure APIs; design plugins/connectors for Copilot/Power Platform when applicable.
Stakeholder Engagement & Governance
Translate business goals into AI solution roadmaps; run discovery workshops, backlog shaping, and architecture runway planning with product, data, and platform teams.
Establish toll-gates, NFRs, and KPIs for cost, quality, and time-to-value; drive continuous improvements through retrospectives and RCA across baseline/trial/test phases.
Required Skills & Experience
Core Technical
• 15 years overall; 3-5 years architecting AI/ML/GenAI solutions at scale.
• Hands-on with LLMs (GPT family, BERT/Transformers), prompt engineering, LLM optimization (context windows, adapters), RAG, and evaluation (golden sets, BLEU/BERTScore/semantic similarity). • Cloud: Azure (incl. Azure AI, OpenAI, Cognitive Services), AWS (Bedrock/SageMaker), GCP (Vertex AI); containerization (Docker/Kubernetes) and service meshes. • Data & Integration: SQL, NoSQL, data warehousing concepts (fact/dimension, SCD), ETL/ELT, streaming (Kafka/Event Hubs), API design, and secure integration (OAuth2/JWT/RBAC). • LLMOps/MLOps & Automation: CI/CD for models, model registry, feature store, monitoring (tokens, drift, hallucinations), Python automation for infra and pipelines. Engineering Practices • Proficiency in Python, LangChain/LangGraph, vector DBs, and prompt/agent frameworks; strong Git, CI/CD, IaC, and Agile/Scrum delivery. Architecture Leadership • Prior ownership of complex AI solution designs, HLD/LLD, NFRs, and security/ compliance patterns; ability to mentor squads and lead design forums. Preferred Skills • Experience designing AI gateways, MCP (Model Context Protocol) implementations, and agent registries; familiarity with metadata standards (DCAT/JSON-LD). • Exposure to enterprise AI platforms/labs and accelerators • Knowledge of infrastructure automation in DC/cloud (orchestration, provisioning) with AI workloads and GPU scheduling (K8s, NCCL, Triton). • Prior work on Microsoft Copilot Studio solutions, conversational agents, and Power Platform extensibility. Qualifications & Certifications • B.Tech or Equivalent degree • Certifications (any subset): Azure AI Engineer/Architect, Azure OpenAI, AWS/GCP AI, Databricks ML, Kubernetes
Mandatory Skills: AI ML Solution Architecting .
Experience: >10 YEARS .
The expected compensation for this role ranges from $100,000 to $185,000 .
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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion