Agentic Architect
Capco is hiring an Agentic Architect. Level rates it ; you can apply on Capco.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions LangGraph, AutoGen and Semantic Kernel among its tools and skills.
- Capco has 702 other open roles on Level.
AI in this role
Job Title:AI Architect
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Job Description:
Key Responsibilities
• Lead solution design from business problem to target architecture, integration and deployment blueprint.
• Design single and multi-agent workflows, tool calling, memory, retrieval and human-in-the-loop controls.
• Define security, resilience, latency, cost, observability and scalability requirements.
• Select models, cloud services, vector search and frameworks; assess build versus buy.
• Set standards and guardrails, review designs, and partner with product, cloud and AI governance.
• Embed AIDLC in design: stage gates, governance checkpoints and architecture decision records.
Must-Have Skills
• Architecture: Architecture and distributed systems; hands-on software engineering; secure cloud architecture; API, data and identity integration.
• Agentic AI: LLM, RAG and agentic patterns; tool calling, state and memory; agent evaluation; build-versus-buy trade-offs.
• Security (banking-critical): Least-privilege tool access; prompt-injection defence; approval gates for risky actions; audit trails, model risk and residency.
• AIDLC (mandatory): Defines AIDLC stages and gates; evaluation and release criteria; governance checkpoints; architecture decision records.
Good-to-Have Skills
• LangGraph, Semantic Kernel, AutoGen.
• Enterprise search and vector databases.
• Event-driven systems and microservices.
• Red-teaming and LLM observability.
• Model governance and AI safety.
• Disaster recovery and FinOps modelling.
How we rate this
Agentic Architect at Capco rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you think about the risk of an AI system in this kind of role failing silently?
- What are the limits of LangGraph that you've run into, and how did you work around them?
- What's a project where you used AutoGen hands-on?
- Walk me through how you've used Semantic Kernel in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, AI Safety, LangGraph, AutoGen, and Semantic Kernel. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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