Senior AI Platform Engineer
BH-49514
Posted: 18/06/2026
- $150,000-$250,000 per annum
- Boston, United States
- Permanent
Senior AI Platform Engineer
A leading financial services organisation is building a firm-wide AI Engineering capability to enable productivity and advanced agentic solutions for developers, business teams, and end users. This role focuses on designing and delivering a secure, scalable, and compliant AI platform that supports enterprise-wide adoption of AI technologies.
Responsibilities
A leading financial services organisation is building a firm-wide AI Engineering capability to enable productivity and advanced agentic solutions for developers, business teams, and end users. This role focuses on designing and delivering a secure, scalable, and compliant AI platform that supports enterprise-wide adoption of AI technologies.
Responsibilities
- Design, build, and operate the core AI platform, including managed LLM inference services such as Amazon Bedrock
- Manage model access, versioning, and intelligent routing across foundation models
- Develop and maintain shared integration layers including MCP servers, registries, gateways, and authorization services
- Build AI data pipelines and dashboards to track usage, adoption, and cost efficiency
- Design infrastructure supporting AI-assisted developer environments, office productivity tools such as Microsoft 365 and Excel, and agentic AI frameworks
- Develop reusable AI components including RAG pipelines, vector databases, and model integration patterns
- Deliver scalable, production-grade platforms that are easy for engineering teams to adopt
- Embed security controls across the full AI lifecycle in partnership with Security Engineering
- Implement safeguards to prevent unsafe or destructive agent behaviour, including IAM policies, sandboxing, and network restrictions
- Enforce a default-deny security model with strict access controls and human approval workflows for sensitive actions
- Build pre-execution guardrails using policy engines and validation hooks
- Ensure secure infrastructure boundaries using VPC endpoints and PrivateLink with no public internet egress
- Maintain full auditability, traceability, and regulatory compliance across AI systems
- Enable self-service onboarding for teams with role-based access controls
- Implement cost management frameworks including quota management, usage tracking, and chargeback models
- Operate centrally managed AI services across the organisation
- Define and promote reference architectures and best practices
- Support consistent and scalable adoption of AI across the firm
- 10+ years of experience in platform, infrastructure, or systems engineering
- Proven experience building and operating enterprise-scale platforms across AWS and on-prem environments
- Hands-on experience running LLM-based workloads in production
- Strong expertise in Amazon Bedrock and Azure OpenAI
- Experience designing MCP servers, registries, gateways, and authorization flows
- Experience building agentic AI systems including tool use, function calling, RAG, and human-in-the-loop workflows
- Proven ability to build developer-facing platforms with a focus on usability, reliability, and standardisation
- Strong background implementing AI security controls in regulated or high-security environments
- Excellent communication and stakeholder management skills
- Ability to collaborate across security, application, and infrastructure teams
Mikhil Dodhia
Senior Consultant