Data Architect – GenAI

About this position:

We are eagerly seeking candidates with 3 to 18 years’ experience for a Data Architect to lead the design and implementation of scalable, intelligent data systems with a focus on Artificial Intelligence (AI), Generative AI (GenAI) with Agentic AI. The ideal candidate will bring deep expertise in modern data architecture, advanced analytics, and intelligent agent frameworks to support the next generation of autonomous and intelligent systems. You will work cross-functionally with data scientists, engineers, and business stakeholders to deliver innovative solutions aligned with enterprise goals.

• Role: Data Architect – GenAI
• Location: Pune/Hyderabad/Mumbai
• Experience: 3 to 18 years
• Job type: Full time
• Work type: Hybrid

Impact you will realize: Job Responsibilities

• Design and implement enterprise-grade data architectures.
• Lead data modeling, governance, metadata management, data lineage, and master data management initiatives.
• Define scalable data solutions to support real-time inference, and autonomous agent systems.
• Architect and deploy end-to-end pipelines that support AI/ML workloads, including data ingestion, feature engineering, and model lifecycle management.
• Collaborate with AI research and product teams to operationalize GenAI models (e.g., LLMs, SLM and knowledge graphs) and integrate them into business workflows.
• Implement and scale retrieval-augmented generation (RAG) and fine-tuning frameworks in production environments, as well as knowledge graphs.
• Multi-Agent & Agentic AI Systems
• Design data platforms that support multi-agent systems, ensuring seamless orchestration, communication, and memory management among agents.
• Architect data flow and backend systems to support agentic workflows such as task decomposition, context switching, and reinforcement feedback loops along with knowledge graphs.
• Leverage frameworks like LangChain, Langgraph, AutoGen, CrewAI, or similar to build and manage autonomous and collaborative agents.
• Must have exposure to feedback loop design and development for Multiagent or agentic frameworks.

Key skills you will require:

Primary Skills

• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
• Strong hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proven track record of working with Generative AI models, LLMs (e.g., GPT, Claude, LLaMA), and orchestration frameworks (LangChain, LlamaIndex, Langgraph).
• Knowledge and exposure to multi-agent frameworks (e.g., CrewAI, AutoGen, ReAct, CAMEL) and agentic AI design principles.
• Solid understanding of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.).
• Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications:

• Experience building production-grade agentic systems with adaptive learning and decision-making capabilities.
• Familiarity with knowledge graphs, semantic search, and advanced RAG pipelines.
• Certifications in cloud platforms or AI/ML specializations (e.g., AWS Certified Data Analytics, Google ML Engineer).

Why should you join Xoriant?

Xoriant is a trusted provider of digital engineering services, renowned for building and operating complex platforms and products at scale. With three decades of software engineering excellence, we combine modern technology expertise in Data & AI (GenAI), cloud & security, domain and process consulting to solve complex technology challenges. We serve over 100 Fortune 500 companies and tech startups on their journey to becoming unicorns and beyond.

As a "right-sized" company, we bring agility through our 5000+ passionate XFactors (our employees) from over 20 countries, fostering a culture focused on purpose and employee happiness.

Want to experience life at Xoriant?

In our inclusive workspace, we turn imagination into reality — everyday!

• Business for Purpose: Be part of a passionate team and create a better future through tech & innovation.
• Giving Back to Community: Build a stronger business and community by volunteering and make a positive impact in the community.
• Rise to Sustain: Support your career growth in a way that helps ensure long-term success.
• Continuous Learning: Stay curious and keep learning with us to drive innovation.
• Wellness First: Prioritize well-being with multiple health benefits & experience work-life balance.
• Rewards & Recognition: Value your work with meaningful rewards and recognitions.
• One Xoriant Family: Celebrate the joy of diversity, inclusivity and togetherness through festivals.
• Candid Connects: Connect directly with leaders and voice your opinion.
• Culture of Ideation: Be a trailblazer, bring new ideas to the fore and realize them through engineering.

If there’s an XFactor in you, we have a chair dedicated to your name.

Apply now :- To know more about Xoriant, please visit : www.xoriant.com

Important Notice:

We have been alerted that some job candidates, who posted their resumes on specific websites and portals, have been approached by imposters posing as Xoriant and making deceptive offers using Xoriant branding. Xoriant communications from website, official email addresses, and verified social media accounts only should be considered legitimate. Xoriant will never ask for payment during the recruitment process, nor have we authorized any external agencies to collect a fee on our behalf. Avoid sharing your personal details until you verify the offer's legitimacy. Cross-check the credentials of anyone claiming to represent Xoriant with our official HR department.

If you receive any suspicious job offers or fraudulent communication bearing Xoriant branding, contact us at careers@xoriant.com immediately.

Equal Employment Opportunity Statement:

We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, gender, national origin, age, disability, or veteran status. Our inclusive workplace values diversity and ensures that all employees are treated fairly and with respect, promoting a culture of belonging. We strive to create a supportive environment where everyone has the opportunity to succeed and contribute to our collective success.

• Bachelors or master’s with Computer Science or related field