Senior Managing Consultant/Managing Consultant – AI Architect, Financial Services Operations & Technology

Berkeley Research Group (BRG)

. Lead AI architecture and engineering workstreams, translating client operating problems into solution designs, delivery plans, and boundaries for automation and human judgment .

Posted 10/23/2026full-timeUnited StatesSenior💰 $158,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI architecture and engineering, with strong capabilities in Python programming, RAG and agentic workflows, and implementing security and governance controls for AI systems. Proven ability to lead technical workstreams, mentor engineers, and deliver AI applications from design to production.

Highest-signal resume keywords

Python Engineering SkillsAI Application DeliveryRAG And Agentic WorkflowsSecurity And Governance ControlsCloud Infrastructure Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureProduction ImplementationModel IntegrationAPI DevelopmentEvaluation DesignRegression TestingPerformance ReviewPrompt Injection SafeguardsVersioningMonitoring

Soft Skills

MentoringCommunicationCollaborationProblem-Solving

Tools & Technologies

Cloud InfrastructureContainersCI/CDObservability ToolsFeedback Capture Systems

Industry Keywords

AI ServicesHuman OversightDecision PatternsTechnical Scope EstimatesClient Engagement

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Lead AI architecture and engineering workstreams, translating client operating problems into solution designs, delivery plans, and 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 escalation paths
Work with vendor partners and domain experts in the AI Co-lab to frame solutions, prototype alternatives, and compare model and platform capabilities
Define evaluation datasets and acceptance criteria, and test retrieval quality, task accuracy, unsafe behavior, latency, cost, and human oversight
Implement LLMOps practices for prompt and model versioning, regression testing, deployment, observability, feedback capture, rollback, and performance review
Design and test safeguards for prompt injection, unauthorized data access, sensitive-information exposure, and unsafe tool actions
Collaborate with data and full-stack engineers to deploy secure, maintainable solutions and equip client teams with procedures, documentation, and support arrangements
Mentor engineers and lead technical reviews while validating adoption, control effectiveness, and measurable operating benefits
Capture expert decision patterns in reusable workflows, evaluation suites, and reference architectures
Contribute feasibility assessments and technical scope estimates to future pursuits

Requirements

What you’ll need

Minimum 5 years of prior applicable work experience for Managing Consultant level
Minimum 7 years of experience for Senior Managing Consultant level
Senior, hands-on delivery of AI applications from architecture through production implementation, with equivalent practical experience recognized regardless of formal education or certification
Strong Python engineering skills, including tested services, model integrations, tool interfaces, and APIs
Experience implementing RAG and agentic workflows
Ability to design evaluations using representative tasks and expert-reviewed ground truth
Experience applying security and governance controls to AI systems
Experience deploying and operating AI services using cloud infrastructure, containers or equivalent deployment patterns, CI/CD, versioning, monitoring, and rollback practices
Ability to lead complex technical workstreams, mentor engineers, communicate architectural trade-offs, and contribute delivery estimates
Ability to travel to client sites as needed
Candidates must be able to verify their legal right to work in the United States without employer sponsorship now or in the future