New opportunity

AI Solution Architect- BFSI

Capgemini · Pune, India

About this role

The AI Solution Architect will lead technical solutioning for strategic deals in banking, financial services and insurance (BFSI). Working with client enterprise architecture teams, the architect will translate business requirements into scalable, compliant solutions and help shape complex, high-value transformation programs in Pune.

Responsibilities

  • Architect end-to-end solutions covering core system modernization, digital onboarding, customer experience, payments, claims, underwriting and regulatory compliance.
  • Partner with sales and bid teams on proposals, presentations and RFP responses. Lead technical work across the deal lifecycle, including solution workshops, estimates and client presentations.
  • Work with client enterprise architecture teams to understand requirements, co-create solution roadmaps and align designs with enterprise standards and strategic objectives.
  • Incorporate relevant cloud, AI/ML, microservices, DevOps and security capabilities into BFSI solution strategies. Maintain technical integrity, mitigate risk and address applicable regulations, including RBI, IRDAI and GDPR, and security standards.
  • Explain solution value and technical decisions to CIOs, CTOs, business heads and other technical and non-technical stakeholders.

Required background:

  • 15+ years in solution architecture, with a significant portion in AI roles serving BFSI clients; deep knowledge of BFSI processes, regulations and technology trends.
  • Proven ability to architect complex solutions using cloud platforms such as AWS, Azure and GCP, along with AI/ML, microservices and DevOps practices.
  • Demonstrated success in technical solutioning, proposal creation, estimation and client workshops; experience collaborating with client enterprise architecture and internal technical teams; strong presentation and stakeholder-engagement skills.

Preferred

Experience with integration patterns, legacy modernization and digital transformation in BFSI; knowledge of financial-services compliance frameworks and security standards; and a record of successful solution delivery and client satisfaction. The posting describes the position as permanent.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Solution ArchitectureEnterprise ArchitectureAIMachine LearningAWSAzureGCPCloud ComputingMicroservicesDevOpsBFSITechnical SolutioningProposal CreationRFP ResponsesSolution EstimationClient WorkshopsIntegration PatternsLegacy ModernizationDigital TransformationRisk MitigationRegulatory ComplianceSecurity StandardsRBI RegulationsIRDAI RegulationsGDPRStakeholder Communication

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Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • End-to-end BFSI architecture

    The posting calls for solutions across core modernization, digital onboarding, customer experience, payments, claims, underwriting and regulatory compliance in large-scale transformation programs.

  • Technical leadership in strategic deals

    Lead solution workshops, estimates and client presentations while partnering with sales and bid teams on proposals and RFP responses.

  • Client enterprise-architecture alignment

    Translate business and technical requirements into solution roadmaps co-created with client EA teams, aligned to enterprise standards and strategic objectives.

  • Technology integration with risk control

    Incorporate cloud, AI/ML, microservices, DevOps and security into BFSI strategies while maintaining technical integrity and addressing applicable regulations, including RBI, IRDAI and GDPR.

  • Senior-stakeholder communication

    Explain solution value and technical decisions clearly to CIOs, CTOs, business heads and technical teams.

Likely challenges to think through

  • Modernization versus integration risk

    Preparation hypothesis: Linking new capabilities to core BFSI systems may make architecture choices difficult. Prepare to explain phased integration options and how you would identify dependencies and risks before committing to a roadmap.

  • AI ambition versus compliance

    Preparation hypothesis: A promising AI or cloud design may conflict with security or regulatory constraints. Prepare to show how you would evaluate the use case, identify applicable controls and adjust the design without assuming one framework applies to every client.

  • Credible estimates during a deal

    Preparation hypothesis: Workshops and RFPs may require estimates before all requirements are settled. Prepare to explain assumptions, estimate ranges and validation steps, and how you would communicate uncertainty to both bid teams and client stakeholders.

03

Practice your answers

Technical practice

How would you turn a BFSI client's business requirements into an enterprise-aligned solution roadmap?

What to coverSuggested preparation: Explain how you would clarify business outcomes, constraints and existing architecture with the client's enterprise architecture team. Show how you would sequence decisions and check the roadmap against enterprise standards and strategic objectives.

How would you modernize a legacy core system while maintaining integration with surrounding services?

What to coverSuggested preparation: Compare phased modernization with a larger replacement, including continuity and integration trade-offs. Explain how you would identify dependencies and reduce migration risk.

How would you architect digital onboarding and customer experience across channels?

What to coverSuggested preparation: Describe the end-to-end journey and the systems that must exchange information. Address scalability, security and how you would evaluate whether the design meets the stated business requirements.

What architectural trade-offs would you examine for a payments transformation?

What to coverSuggested preparation: Discuss integration with existing systems, reliability, scalability and security without assuming a particular payment platform. Explain how business and technical requirements would determine your priorities.

How would you design a solution spanning claims or underwriting workflows?

What to coverSuggested preparation: Map the chosen workflow to its data, system and decision points before proposing components. Explain how you would accommodate process variation and applicable controls rather than treating either workflow as a generic application.

How would you choose a cloud approach for a complex BFSI solution?

What to coverSuggested preparation: Compare relevant capabilities and constraints across AWS, Azure and GCP without presuming one is preferred. Address integration, scalability, security, compliance and fit with the client's enterprise standards.

How would you decide where AI or ML adds value in a BFSI solution?

What to coverSuggested preparation: Start with a defined business decision or process, then explain how you would assess data suitability, measurable value and model performance. Include how you would detect poor results and manage risks before integrating the capability into a broader architecture.

How would you apply microservices and DevOps practices without compromising technical integrity?

What to coverSuggested preparation: Discuss service boundaries, dependencies, release practices and operational visibility as architectural trade-offs. Describe how you would diagnose a failing cross-service workflow and decide whether the service split remains appropriate.

How would you assess regulatory and security risks in a proposed BFSI architecture?

What to coverSuggested preparation: Explain how you would determine which RBI, IRDAI and GDPR obligations actually apply to the client's solution, alongside relevant security standards. Show how identified obligations would affect design decisions, risk mitigation and review with the appropriate client teams.

How would you develop and defend the technical estimate in an RFP response?

What to coverSuggested preparation: Break the solution into scoped components, dependencies, assumptions and risks, then explain how uncertainty affects the estimate. Connect the proposed architecture and trade-offs to a clear client presentation rather than presenting a number without its basis.

Behavioural practice

Tell me about a time you and a client enterprise architecture team disagreed on a design direction.

What to coverSuggested practice: Use a real situation, the standards or objectives at issue, and the actions you took to resolve the disagreement. State the resulting decision and its effect on the solution or working relationship.

Describe a time you had to lead technical solutioning under proposal or bid deadlines.

What to coverSuggested practice: Explain the situation, your responsibility and how you handled incomplete requirements or estimation uncertainty with sales and technical teams. Give the result without presenting an estimate as more certain than it was.

Give an example of explaining a complex architectural trade-off to senior non-technical stakeholders.

What to coverSuggested practice: Set out the audience's decision, how you adapted your explanation and what questions you addressed. Describe the decision or other observable result, without assuming that agreement alone proved the design was sound.

Tell me about coordinating client and internal teams on a complex BFSI solution.

What to coverSuggested practice: Describe the situation, the teams' differing responsibilities and the actions you took to align requirements and technical decisions. Explain the outcome and how you verified that important dependencies were understood.

Describe a time you identified a delivery, security or compliance risk in a proposed solution.

What to coverSuggested practice: Give the situation, how you surfaced and assessed the risk, and what mitigation or escalation you led. State the result, including any remaining trade-off, rather than implying that all risk was eliminated.

02

Sharpen your knowledge

Topics to prepare

  • BFSI processes and transformation scope

    The posting names core modernization, digital onboarding, customer experience, payments, claims and underwriting. Revise by mapping the business steps and technology dependencies for one banking and one insurance example, then identify where an end-to-end solution would need to integrate with existing systems.

  • Enterprise architecture alignment

    The role works with client EA teams to align solutions and roadmaps with enterprise standards and strategic objectives. Revise by taking a hypothetical business requirement and listing the architecture questions, standards and trade-offs to resolve before proposing a design.

  • Cloud, AI/ML and delivery architecture

    The posting calls for solutions leveraging AWS, Azure or GCP alongside AI/ML, microservices and DevOps practices. Revise by comparing when those capabilities add value in a BFSI solution, and where complexity, scale or operational risk could outweigh that value.

  • Regulatory, security and technical risk

    The architect must address applicable RBI, IRDAI and GDPR requirements, security standards and risk mitigation. Revise by building a checklist of questions about regulatory applicability, data handling, security and technical integrity for a hypothetical BFSI use case; do not assume every regulation applies to every solution.

  • Strategic-deal solutioning

    The role spans proposals, RFP responses, estimates, workshops and presentations. Revise by tracing how an initial client requirement becomes a solution option, an estimate and a defensible value proposition, noting the assumptions that need client confirmation.

Skills to revise

  • Draft an end-to-end solution design

    Practice sketching a hypothetical BFSI modernization solution that shows existing systems, integration points, cloud and AI/ML components where justified, and security boundaries. This rehearses the end-to-end architecture and technology integration requested in the posting; the scenario is a preparation exercise, not a stated Capgemini project.

  • Facilitate an EA requirements workshop

    Practice a short workshop agenda and questions that uncover business outcomes, technical constraints, enterprise standards and decision owners. This mirrors the posting’s client EA collaboration and solution workshops.

  • Build a phased solution roadmap

    For the same hypothetical scenario, draft phases, dependencies, key risks and decisions requiring client agreement. This exercises the co-created roadmaps and alignment with strategic objectives described in the posting.

  • Produce an estimate and RFP response outline

    Practice an estimate with explicit scope, assumptions, dependencies and uncertainty, then outline how those points support a technical proposal. Estimation and RFP responses are explicit deal-lifecycle responsibilities.

  • Present architecture to mixed stakeholders

    Rehearse a concise explanation of one design choice twice: once for a CIO or business head in terms of outcomes and risk, and once for a CTO or EA team in terms of technical trade-offs. The posting requires clear communication with both technical and non-technical senior stakeholders.

04

Your preparation checklist

  • Map evidence to the role

    The posting asks for 15+ years in solution architecture, significant AI work for BFSI clients, and experience with cloud, proposals and workshops. Prepare a one-page map of relevant examples and your specific contribution to each; leave gaps explicit.

  • Build a BFSI project walkthrough

    Select a relevant project, if available, and prepare a concise account of the business requirement, architecture decisions, AI/ML role, collaboration with client enterprise architects, delivery outcome and lessons learned. The posting also values client satisfaction; use evidence rather than unsupported claims.

  • Practice an end-to-end design exercise

    As preparation, sketch a solution for one posting-listed area, such as digital onboarding or claims. Show integrations with existing systems, where cloud and microservices fit, AI/ML boundaries, DevOps considerations, and a phased roadmap aligned to enterprise standards.

  • Prepare a risk and compliance review

    Annotate the practice design with security controls, technical risks and open regulatory questions. The posting cites RBI, IRDAI and GDPR as examples; explain which might apply to your chosen scenario rather than assuming all do.

  • Rehearse deal-stage solutioning

    The role includes RFP responses, workshops, estimates and client presentations. Draft a sample proposal outline with assumptions, scope, architecture options, estimation approach, dependencies and questions you would resolve in a workshop.

  • Tailor the executive explanation

    Prepare a short presentation of the same design for a CIO, CTO or business head, focusing on business value, major trade-offs and risks. Keep a technical version ready to discuss decisions with an enterprise architecture team.

  • Write questions for Capgemini

    Bring questions about the mix of BFSI deal types, how sales and technical teams divide solutioning work, how client enterprise architects shape roadmaps, and what evidence is used to validate estimates and compliance assumptions.

AI-generated from the job information · Prepared Sep 29, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 5 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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