Agentic Context Engineer - Bengaluru, India

Madrona Venture Labs; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Benefits offered by this job

High autonomy in a flat organization

Work with a world-class engineering team

Impact on product roadmap

Job summary

Madrona Venture Labs is seeking an experienced Agentic Context Architect in Bengaluru to join their Field Engineering team. This role involves driving complex sales opportunities, conducting workshops with customers, and ensuring the technical execution of enterprise data solutions. The ideal candidate will have over 10 years of experience in data/AI/ML platforms and a relevant degree. Join a world-class engineering team impacting enterprise data with cutting-edge innovations.

Qualifications

• 10+ years of experience in data/AI/ML platforms consulting.
• Proven track record in deploying complex platforms into production.
• Hands-on experience with modern analytics and cloud data platforms.

Responsibilities

• Drive large sales opportunities from ideation to delivery.
• Conduct workshops to identify opportunities with customers.
• Own post-sale technical execution through deployment and scale.

Skills

Deep technical expertise in data/AI/ML platforms

Advanced SQL

Strong Python proficiency

Clear communication skills

High ownership mindset

Education

Bachelor’s or Master’s in Engineering, Data, or related field

Job description

Location

Bengaluru

Employment Type

Full time

Location Type

On-site

Department

Field Engineering

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