Senior AI Architect - Finance Technology AI Enablement (US Citizen or Green Card only)

Xsell Resources Inc.; Rhode Island; On-site; USD 180,000 - 240,000; Full time

Job summary

Xsell Resources Inc. is seeking a Senior AI Architect to serve as the top AI/ML technical authority for the finance IT organization.

You will translate a transformation vision into a coherent technical strategy, design end-to-end architecture, and guide engineering teams through complex design and implementation. This highly senior, hands-on role spans multi-year AI/ML roadmaps, reference architectures, and standards while working directly with engineers to solve challenging design problems.

Qualifications

• Over a decade leading enterprise-scale architecture programs.
• Proven track record delivering GenAI/ML platforms in production.
• Experience with large-scale data processing and governance.
• Strong ability to translate business goals into AI/ML roadmaps.

Responsibilities

• Define AI/ML strategy underpinning finance IT transformation.
• Create reference architectures and design standards for AI platforms.
• Guide engineers through complex design decisions and reviews.
• Champion AI-first thinking across finance technology.
• Deliver multi-year roadmaps aligned to business priorities.
• Architect scalable AI/ML frameworks and agentic workflows.

Skills

Enterprise architecture

Cloud architecture

Kubernetes

GenAI strategy

AI/ML

Stakeholder management

Architectural governance

Tools

Azure

GCP

AWS

MLOps tooling

Job description

This role is contract to hire, converting to FTE

About the Role

We are looking for a Senior AI Architect who will serve as the top AI/ML technical authority for the finance IT organization — someone who can translate a business transformation vision into a coherent AI/ML technical strategy, design the end-to-end architecture that makes that strategy real, and guide engineering teams through detailed design and implementation.

This is a highly senior, hands-on architecture role. You will operate at multiple altitudes: shaping multi-year AI/ML roadmaps with business and technology leaders, producing detailed reference architectures and design standards, and working directly with engineers to solve hard design problems. You will be the primary architectural voice for GenAI, machine learning, automation, and agentic systems across finance technology.

What You'll Do

• Define the AI/ML technical strategy that underpins the finance organization's broader business transformation vision.
• Partner with business leaders and senior stakeholders to translate financial and operational goals into actionable AI/ML and automation initiatives.
• Establish and evangelize an AI-first architectural philosophy across finance technology — identifying where GenAI, ML, and automation should be embedded by design rather than bolted on.
• Act as a trusted advisor to business and technology executives on AI/ML capability, feasibility, risk, and value.
• Create high-level automation and AI/ML architecture designs and multi-year technology roadmaps aligned to business priorities.
• Architect AI/ML foundational frameworks and platforms that can be reused across multiple finance use cases (fraud detection, forecasting, reconciliation, reporting, analytics, Intelligent document/content/Audio Processing and beyond).
• Design high-performing, complex semantic layers using advanced techniques such as RAG, Knowledge Graphs, and GraphRAG, enabling natural language query against large, complex financial databases with extensive table relationships.
• Define reference architectures for agentic AI workflows, including multi-agent orchestration, tool use, memory, and human-in-the-loop patterns for finance process automation.
• Set architecture and design standards, frameworks, and best practices for AI/ML solution delivery across the organization.

Detailed Design& Engineering Guidance

• Produce detailed architecture designs — data flows, integration patterns, model serving, event-driven pipelines, security and governance controls — that engineering teams can build against.
• Guide and mentor engineers through detailed technical design decisions, code/design reviews, and solution build-out.
• Own architectural quality, scalability, and performance for high-volume financial data processing and analytics pipelines.
• Evaluate and select tools, platforms, and frameworks (cloud-native and third-party) to support GenAI, ML, and automation initiatives.

Delivery & Governance

• Ensure solutions meet enterprise, regulatory, and financial-data governance requirements (data privacy, model risk, auditability, explainability).
• Drive adoption of MLOps/LLMOps practices for model lifecycle management, monitoring, and continuous improvement.
• Represent AI/ML architecture in design authority / architecture review forums and champion consistent standards across teams.

What You’ll Bring

Experience

• 12+ years of progressive experience in enterprise architecture, cloud architecture, and distributed systems/platform solutions.
• Proven hands-on experience across major cloud platforms — Azure, GCP, and AWS.
• Deep experience with Kubernetes and container-based platform architecture.
• Strong background in event-driven architectures/frameworks and high-volume, high-throughput data processing systems.
• Demonstrated experience architecting GenAI and Machine Learning solutions in production environments.
• Experience in financial data processing and analytics, ideally within a finance, banking, or FinTech IT organization.
• Track record architecting AI/ML foundational frameworks/platforms used across multiple teams or use cases.

Technical Depth

• Agentic AI: designing and architecting complex multi-step, multi-agent agentic workflows and orchestration patterns.
• Machine Learning: forecasting, fraud detection, anomaly detection, and predictive modeling architectures.
• Automation: business process automation and data processing automation architecture, including intelligent/AI-augmented automation.
• Analytics AI: architecture for AI-enabled analytics and NLP-based querying against large, complex relational data models.
• Data & Integration: large-scale data pipelines, complex database schemas, semantic layer design, API and event-driven integration patterns.

Leadership & Soft Skills

• Ability to operate credibly at both strategic (executive/business stakeholder) and detailed (engineering) levels.
• Strong stakeholder management and communication skills; able to influence business leaders and technical teams alike.
• Experience setting technical standards, design principles, and best practices at an organizational level.
• Strong mentoring and technical leadership skills — comfortable guiding engineers through detailed design and build.
• Structured, first-principles thinker who can bring architectural rigor to ambiguous, transformation-scale problems.

Nice to Have

• Prior experience within a Finance Technology, Banking, or regulated financial services environment.
• Experience with MLOps/LLMOps tooling and model governance/risk frameworks.
• Relevant cloud or architecture certifications (Azure Solutions Architect, GCP Professional Cloud Architect, AWS Solutions Architect, TOGAF, etc.).