Senior AI Architect & Delivery Leader

BRG; Boston (MA); Presencial; USD 158.000 - 180.000; Jornada completa

Descripción de la vacante

BRG is expanding its Financial Institution Operations & Technology practice with AI-enabled delivery. You will lead AI architecture and hands-on engineering, turning financial services operating problems into production-ready AI solutions, guiding engineers and client teams, and framing solutions with vendor partners.

The role spans solution architecture, production implementation, and risk-focused controls, delivering reusable workflows and practical implementation roadmaps.

Formación

• A minimum of 5 years of prior applicable work experience for Managing Consultant; 7 years for Senior Managing Consultant.
• You can demonstrate senior, hands-on delivery of AI applications from architecture to production implementation.
• You have strong Python engineering skills and can build tested services, model integrations, tool interfaces, and APIs.
• You have implemented RAG and agentic workflows with trade-off explanations across retrieval and orchestration.
• You can design evaluations using representative tasks and expert-ground truth to improve metrics.
• You have applied security and governance controls to AI systems, including defenses against prompt injection.
• You have deployed AI services using cloud, containers, CI/CD, and monitoring.
• You can lead a complex technical workstream, mentor engineers, and communicate architectural trade-offs.
• Ability to travel to client sites as needed.

Responsabilidades

• Lead AI architecture and engineering workstreams, translating client operating problems into solution designs, delivery plans, and explicit boundaries for automation and human judgment.
• Implement production AI services in Python, integrating models, retrieval, business rules, tools, and APIs with client data and operational systems.
• Design and build RAG and agentic workflows with source-grounded responses, constrained tool use, human review, exception routing, and clear escalation paths.
• Work in the AI Co-lab with vendor partners and domain experts to frame solutions, prototype alternatives, and compare model and platform capabilities against client needs.
• Define evaluation datasets and acceptance criteria with client experts, and test retrieval quality, task accuracy, unsafe behavior, latency, cost, and the effectiveness of human oversight.
• Implement LLMOps practices for prompt and model versioning, regression testing, deployment, observability, feedback capture, rollback, and ongoing performance review.
• Design and test safeguards for prompt injection, unauthorized data access, sensitive-information exposure, and unsafe tool actions in partnership with client security and risk teams.
• Collaborate with data and full-stack engineers to deploy secure, maintainable solutions and equip client teams with operating procedures, technical documentation, and support arrangements.
• Mentor engineers and lead technical reviews while working with domain, change, and risk colleagues to validate adoption, control effectiveness, and measurable operating benefits.
• Capture expert decision patterns in reusable workflows, evaluation suites, and reference architectures, and contribute feasibility assessments and technical scope estimates to future pursuits.

Conocimientos

AI architecture

Python engineering

RAG workflows

Cloud deployment

CI/CD pipelines

Security governance

Team leadership

Client communication

Descripción del empleo

BRG is expanding its Financial Institution Operations & Technology practice with AI-enabled delivery. You will lead AI architecture and hands-on engineering, turning financial services operating problems into production-ready AI solutions, guiding engineers and client teams, and framing solutions with vendor partners.

The role spans solution architecture, production implementation, and risk-focused controls, delivering reusable workflows and practical implementation roadmaps.