Search by job, company or skills

HCL TechBee

Solutions Architect - AI/ ML

new job description bg glownew job description bg glownew job description bg svg
  • Posted 6 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

About the Opportunity

HCLTech is building the Autonomous Financial Services Operating System — a comprehensive foundational toolkit that financial institutions globally will deploy to transform their operations across Banking, Capital Markets, Wealth Management, and Insurance.

This isn't consulting. This isn't staff augmentation. This is category-defining product work.

We're looking for a Solutions Architect to join our Product Lab and own the reference architecture that financial institutions will deploy. You'll work directly with CIOs, CTOs, and Chief AI Officers to co-design autonomous operations architectures, create reusable patterns, and guide real implementations.

What makes this different:

  • You own the reference architecture — the blueprint that 20+ institutions will customize and deploy
  • You're shaping what autonomous financial services means globally — first mover advantage in a nascent category
  • You're in the room with CEOs and Boards, translating technical designs into business outcomes

What You'll Do

Develop the Reference Architecture for Autonomous Financial Services

You are the architect of record for HCLTech's Autonomous Financial Services platform. You define how autonomous operations work across Banking, Capital Markets, Wealth Management, and Insurance — creating the patterns that clients customize and deploy.

Your ownership:

  • Design the reference architecture: How agents orchestrate across workflows, how they integrate with enterprise systems, how they escalate to humans, how data flows through the system
  • Maintain reusable architecture patterns across deployments: Document what works, what doesn't, what's reusable vs. client-specific
  • Create detailed architecture artifacts: Solution design documents, data flow diagrams, integration patterns, API contracts, deployment blueprints — production-ready documentation that Engineering and clients can execute from
  • Evolve the architecture based on deployment learnings: Feed insights from each client back into the reference model, making it stronger with every implementation

Design Systems That Support Regulatory Compliance

You design architectures that enable compliance, ensuring what we build supports what regulators, auditors, and risk officers require.

This means:

  • Architecting for audit trails and explainability: Design decision logging, reasoning traceability, human review workflows that satisfy audit requirements
  • Designing data governance patterns: How PII is protected, where data resides (sovereignty), how consent is managed, how retention policies are enforced
  • Creating architectural frameworks that map to regulations: How does the design support Basel III, GDPR Article 22, FCA Consumer Duty, OCC Model Risk Management, MiFID II, Solvency II

Lead Client Architecture Design & Deployment Guidance

You're the technical leader in client engagements — facilitating design workshops, presenting to Boards, guiding client teams during real implementations. You translate business requirements into architectural decisions and ensure clients deploy the reference architecture successfully.

Your responsibilities:

  • Facilitate CxO Design Sessions: Lead half-day workshops with CEO/CFO/COO/CIO/Chief AI Officer, demonstrating the reference architecture and co-designing their deployment roadmap
  • Present architectures to Boards and executive teams: Articulate technical decisions in business outcome terms (cost reduction, risk mitigation, time-to-market)
  • Guide client teams during implementations: Work alongside client architects and engineering teams during 12-week deployment sprints, ensuring they understand and correctly implement the reference architecture
  • Conduct technical due diligence: Assess client technology landscapes, identify integration complexities, map legacy constraints, propose architecture adaptations
  • Produce client-specific architecture artifacts: Customize reference architecture documentation for each client's environment, creating deployment-ready blueprints

Design Enterprise Integration Strategies

Define how autonomous agents connect to core banking systems, trading platforms, CRM, data lakes, payment rails, and legacy infrastructure. Your integration patterns must work in real client environments — messy, complex, heavily regulated.

What you design:

  • API contracts and event-driven patterns: How agents consume and produce data, how systems communicate asynchronously, how integration failures are handled
  • Integration playbooks for FS systems: Core banking, trading systems, CRM, etc.
  • Legacy modernization strategies: When direct integration isn't feasible, design API wrappers, event streaming patterns, or batch processing approaches
  • Data architecture: How training data flows, where embeddings are stored, how real-time data feeds into agents, how results flow back to enterprise systems

Collaborate with Engineering on Platform Capabilities

You design the architecture; the Engineering Lead builds it. Clear separation of responsibilities ensures both roles are effective.

Boundary with Engineering Lead:

  • You design: Agent orchestration patterns, integration architecture, human-in-loop workflows, data flows, security models
  • Engineering builds: Agent runtime, MLOps platform, evaluation systems, monitoring infrastructure, CI/CD pipelines, actual code
  • You provide: Detailed architecture documents that Engineering can build from — not high-level concepts, but specific technical specifications
  • Engineering provides: Feedback on buildability, performance considerations, platform constraints that inform your next architecture iteration

What You Bring

Must-Have

  • 8+ years in solution architecture, with at least 3 years in AI/ML systems (LLMs, agentic frameworks, multi-agent orchestration)
  • Financial Services domain expertise: Deep understanding of at least two verticals (Banking, Capital Markets, Wealth Management, Insurance) — you speak the language of financial operations
  • Architecture documentation mastery: Can produce detailed, production-ready architecture artifacts (solution designs, data flow diagrams, API contracts, integration patterns, deployment blueprints)
  • Client-facing excellence: Proven track record presenting to C-suite audiences (CEOs, CFOs, Boards) and facilitating technical design workshops
  • Hands-on technical credibility: Can evaluate architectures, design API contracts, assess integration feasibility, review technical specifications — deep enough to guide Engineering
  • Systems thinking: Understand end-to-end workflows from user interaction → agent orchestration → legacy system integration → regulatory compliance

Strong Plus

  • Experience with agentic AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI)
  • Knowledge of financial services regulations and how they shape architecture decisions (Basel III, GDPR, FCA, OCC, MiFID II, Solvency II)
  • Background in legacy system integration (mainframes, core banking platforms, policy administration systems)
  • Prior work in product companies building reusable platforms (vs. bespoke consulting)

Mindset & Traits

  • Reference architecture thinking: Design once, deploy many times — create patterns that scale across clients
  • Documentation discipline: Architecture is only valuable if it's clearly documented and executable
  • Consultative mindset: Technical elegance doesn't win deals — business impact, risk mitigation, and feasibility do
  • Collaborative leadership: Partner effectively with Engineering (build), Domain Experts (business), Product Director (roadmap)
  • Ownership mentality: Accountable for architecture quality, client deployment success, reusability across institutions

More Info

Job Type:
Industry:
Employment Type:

About Company

Job ID: 145627531

Similar Jobs