AI Architect

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

Zensar is looking for an AI Architect in the United States (San Diego, CA – 100% Onsite). This position is open for Full Time with excellent benefits and professional growth opportunities.

About the Role

Title : AI Architect

Location : San Diego, CA (Onsite)

Salary Range : $180K to $230K/Annum + Benefits

• We are seeking an experienced AI Architect to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Generative AI solutions.
• The ideal candidate will possess deep expertise in modern Large Language Models (LLMs), multi-cloud AI platforms, and enterprise architecture, with proven hands-on experience leveraging Anthropic Claude, Google Gemini, Microsoft Azure AI Services, and AWS AI/ML services.
• This role will partner with business leaders, engineering teams, data scientists, and cloud architects to define AI strategy, establish architecture standards, and deliver scalable, secure, and responsible AI solutions that drive measurable business outcomes.

Key Responsibilities:

AI & GenAI Architecture

• Define and implement enterprise AI architecture frameworks, standards, and best practices.
• Design end-to-end Generative AI solutions leveraging Claude, Gemini, OpenAI, and other leading foundation models.
• Architect Retrieval Augmented Generation (RAG), agentic AI, multi-agent systems, vector databases, and knowledge management solutions.
• Develop scalable AI platforms supporting enterprise-wide adoption and governance.

Cloud & Platform Architecture

• Architect AI solutions across Azure and AWS environments.
• Design secure and scalable AI infrastructure utilizing:
• Azure OpenAI Service
• Azure AI Foundry
• Azure Machine Learning
• Azure Cognitive Services
• Amazon Bedrock
• Amazon SageMaker
• AWS AI Services
• Establish cloud-native patterns for AI application deployment and operations.

Solution Design & Delivery

• Lead technical architecture reviews and solution design workshops.
• Translate business requirements into scalable AI and machine learning solutions.
• Collaborate with engineering teams to implement production-grade AI systems.
• Drive AI adoption through reusable frameworks, accelerators, and reference architectures.

Governance & Responsible AI

• Define AI governance, security, compliance, and risk management frameworks.

Implement model monitoring, observability, guardrails, and responsible AI practices.

• Ensure solutions comply with enterprise security, privacy, and regulatory requirements.

Leadership & Innovation

• Serve as a trusted advisor to executive leadership on AI strategy and emerging technologies.
• Mentor architects, engineers, and data science teams.
• Evaluate emerging AI technologies and recommend adoption strategies.
• Drive innovation initiatives and proof-of-concepts for strategic business opportunities.

Experience & Technical Expertise:

• 10+ years of experience in software engineering, cloud architecture, data platforms, or enterprise architecture.
• 5+ years of experience designing and implementing AI/ML solutions.
• 3+ years of experience with Generative AI and Large Language Models in enterprise environments.
• Proven experience leading enterprise AI transformations and architecture programs.

Foundation Models & GenAI

• Demonstrated expertise with:
• Anthropic Claude
• Google Gemini
• OpenAI models
• Multi-model orchestration strategies
• Experience with prompt engineering, fine-tuning, model evaluation, and AI agent frameworks.

Microsoft Azure

• Azure OpenAI Service
• Azure AI Foundry
• Azure Machine Learning
• Azure Kubernetes Service (AKS)
• Azure Data Services
• Azure Security and Identity solutions

Amazon Web Services

• Amazon Bedrock
• Amazon SageMaker
• AWS Lambda
• ECS/EKS
• AWS Data and Analytics services
• AWS Security and Governance services

AI & Data Technologies

• RAG architectures
• Vector databases (Pinecone, Weaviate, Milvus, Chroma, Azure AI Search)
• LangChain, LangGraph, LlamaIndex
• AI Agents and Agentic Workflows
• MLOps and LLMOps
• Model monitoring and evaluation frameworks

Programming

• Python, SQL, REST APIs, Microservices Architecture, CI/CD and DevOps practices

Preferred Qualification:

• Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Experience with enterprise AI governance and Responsible AI frameworks.
• Experience in regulated industries such as healthcare, financial services, defense, or technology.
• Experience integrating AI solutions with ERP, CRM, and enterprise systems.

Preferred Certifications:

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Solutions Architect Professional
• AWS Certified Machine Learning Specialty
• Google Professional Cloud Architect
• Google Professional Machine Learning Engineer

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at: https://zensar.com/privacy-notice