About WisdomAI: WisdomAI is revolutionizing how enterprises leverage their data. We empower businesses to unlock insights, drive innovation, and make data-driven decisions at scale. Join our rapidly growing team and be a part of a company that is shaping the future of enterprise data. Our team is composed of founding engineers and leaders from Google, Meta, AWS, Rubrik and Glean, backed by Tier-1 VCs.
The Role: As an Agentic Context Architect at WisdomAI, you will work within a Field Engineering pod to guide strategic customers from early solution shaping through scaled deployment. You will help operationalize WisdomAI across complex enterprise data landscapes, turning fragmented data into production-grade agentic intelligence systems that power automated, insight-to-action workflows. This is a hands-on role for builders who love shipping real systems and owning outcomes end to end. Core
Responsibilities Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery Conduct workshop sessions to identify opportunities with customers to scope how they could deliver business value with WisdomAI Own the holistic health and ROI of your customer portfolio. You are responsible for identifying the "North Star" use cases that move the needle for their business Own post-sale technical execution for strategic customers through deployment and scale Design and ship enterprise context layers that turn fragmented enterprise data into production-ready agent-driven workflows Lead complex technical problem-solving across data integration, performance, governance, and security domains Build reusable context models, solution patterns, and deployment frameworks Partner with Product and Engineering to shape platform evolution by translating customer needs into scalable product capabilities Serve as a trusted technical advisor to customer architects, data leaders, and executive stakeholders What You’ll Bring:
Qualifications Experience & Background 10+ years of experience combining deep technical expertise in data/AI/ML platforms consulting or delivery leadership focused on business impact. Bachelor’s or Master’s in Engineering, Data, or a related field, or equivalent experience. Experience working across both customer-facing pre-sales and post-sales engagements Proven track record deploying complex platforms into production enterprise environments Deep understanding of enterprise data modeling, context/semantic layers, and system scalability Clear communicator able to engage engineers, architects, and executives alike High ownership mindset with a focus on real outcomes Technical Expertise Hands-on experience with modern analytics and cloud data platforms, including semantic and metadata layers Advanced SQL and strong Python proficiency for data transformation, orchestration, and automation Understanding of how Generative AI works, including prompt engineering, RAG (Retrieval-Augmented Generation), and evaluation sets. Familiarity with data governance, security, access controls, and performance optimization in enterprise environments
Why Join Wisdom AI? Work at the cutting edge of Generative AI and Enterprise Data High autonomy in a flat organization where your work directly impacts the product roadmap and overall company success Opportunity to work with a world-class engineering team from the most successful tech companies in the world
At WisdomAI we believe data drives decisions, better. We’re putting data insights at the fingertips of every employee.
Senior Product Designer - UI/UX
Director of Demand Generation
Software Engineer, NLP/Machine Learning
Software Engineer, Platforms
Software Engineer, Backend
Salary
$5,000 - $50,000
Location
Bengaluru, Karnataka, India
Experience
10+ years
Total raised
$73.0M
Last stage
Series A
Investors
Soham Mazumdar
CEO
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.