AI Engineer, Platform and Runtime

HedgeServ Corporation; Texas; Hybrid; USD 150,000 - 210,000; Full time

Job summary

HedgeServ Corporation in the United States is seeking a Senior AI Platform and Runtime Engineer to design, build, and run HedgeServ’s shared AWS platform for AI agents and applications. You will own runtime infrastructure, identity, security, model access, deployment, and reliability, delivering scalable capabilities for engineering teams.

Responsibilities include automating infrastructure with Terraform and AWS CDK, deploying production LLM workloads, and ensuring cost efficiency,

Qualifications

• 5+ years in software engineering, with 1+ year delivering LLM/actor apps in production.
• Cloud/platform/SRE experience with production systems.
• Hands-on AWS and other enterprise clouds experience; migrate skills to AWS is valued.
• IaC, containerized workloads, and CI/CD with Terraform, AWS CDK, Docker, ECS, EKS.
• Hands-on production LLM/AI workloads using models APIs and tools.
• Distributed systems with async processing, state, retries, idempotency, resilience.
• Observability, incident response, cost management, and security practices.
• Strong analytical, troubleshooting, communication, and collaboration skills.

Responsibilities

• Design, build, and operate secure, scalable AI platforms on AWS, applying patterns from other clouds.
• Own platform architecture across infrastructure, AI services, identity, networking, observability, and runtime operations.
• Automate infrastructure and delivery using Terraform, AWS CDK, and CI/CD tooling.
• Deploy and support production LLM workloads using Amazon Bedrock and related AWS services.
• Build resilient distributed systems with asynchronous processing, durable state, retries, idempotency, and recovery.
• Own agent-runtime reliability, including scaling, performance, observability, SLOs, incident response, pause/resume, and cost optimization.
• Implement identity, encryption, secrets management, and auditable access controls.
• Govern model access, quotas, provider onboarding, evaluation, and lifecycle controls.
• Partner with engineering, architecture, security, product, and business teams to establish reusable standards.

Skills

Cloud architecture

Security best practices

Observability

Incident response

Cost management

Collaboration

Tools

Terraform

AWS CDK

Docker

ECS

EKS

Job description

Department Overview

At HedgeServ, we’re redefining what’s possible in fund administration. With more than $700 billion in assets under administration, we partner with the world’s most forward-thinking investment managers – across private equity, private credit, endowments, hedge funds and more – to deliver seamless, tech-enabled solutions that drive performance. Our proprietary platform, enhanced by machine learning and robotic process automation, gives clients real-time insights and unmatched control over their operations. Alongside our technology, we offer award-winning service through our team-based approach -- led by a deeply experienced team of industry experts. Our solutions span the full investment lifecycle, including fund accounting, middle office, risk, compliance, tax, and investor services. We’re a future-focused company, empowering our people through a robust career development framework, clear career trajectories with structured learning paths, training, and progression plans. We invest in leadership development and in our collaborative culture, creating space for talent to grow. Our corporate values – Relationships, Support, Innovation, and Expertise – create a sense of shared purpose and belonging, and we recognize our employees sit at the core of our success. We continue to innovate and evolve through our employees, working together to achieve our shared vision and mission. HedgeServ supports employees through a variety of offerings, including remote and hybrid working arrangements, and fully paid comprehensive health and well-being benefits. We’ve been recognized as an employer of choice, earning a top 100 workplaces designation. Founded in 2008, HedgeServ has grown into a global organization with over 2,000 experts across the globe, with offices in the United States, Grand Cayman, Ireland, Poland, Bulgaria, Luxembourg, the Philippines, and Australia. We’ve earned numerous accolades, including Top Overall Administrator, along with #1 rankings for providing alternative asset services in Accounting, Technology, Client Service, Investor Services, Alternative Fund Expertise, Reporting, and Regulatory Expertise. Visa sponsorship will not be provided at this time.

Role Overview

As a Senior AI Platform and Runtime Engineer, you will build and operate HedgeServ’s shared AWS platform for AI applications and agents. AWS is the primary platform, while experience applying comparable patterns on other enterprise clouds is valued. You will own runtime infrastructure, identity and security, model and tool access, deployment, and reliability, delivering scalable capabilities and reusable standards for engineering teams.

Key Responsibilities

• Design, build, and operate secure, scalable AI and actor platforms on AWS, applying relevant patterns from other enterprise clouds.
• Own platform architecture across infrastructure, AI services, identity, networking, observability, and runtime operations.
• Automate infrastructure and delivery using Terraform, AWS CDK, and CI/CD tooling.
• Deploy and support production LLM and actor workloads using Amazon Bedrock and related AWS services.
• Build resilient distributed systems using asynchronous processing, durable state, retries, idempotency, and recovery.
• Own agent-runtime reliability, including scaling, performance, observability, service-level objectives, incident response, pause-and-resume recovery, and cost optimization.
• Implement identity and authorization controls, least privilege, encryption, secrets management, and auditable data and tool access.
• Govern model access, quotas, provider onboarding, evaluation, and lifecycle controls.
• Partner with engineering, architecture, security, product, and business teams to establish reusable standards and patterns.

Required Qualifications

• 5+ years of software engineering experience, including at least 1 year delivering LLM or actor-based applications in production.
• Demonstrated experience in cloud, platform, site reliability, or software engineering with responsibility for production systems.
• Strong enterprise-cloud experience across identity, networking, compute, storage, and event-driven architectures.
• Hands-on AWS experience is preferred; deep experience with another enterprise cloud and the ability to transfer those skills to AWS are also valued.
• Experience with infrastructure as code, containerized workloads, and automated delivery using Terraform, AWS CDK, Docker, ECS, EKS, or comparable cloud-native technologies.
• Hands-on experience building or operating production LLM, generative AI, or actor applications using model APIs, structured outputs, tool integration, retrieval, or comparable patterns.
• Experience designing or operating distributed systems with asynchronous processing, state management, retries, idempotency, resilience, and recovery.
• Working knowledge of observability, incident response, cost management, and enterprise security practices.
• Strong analytical, troubleshooting, communication, and collaboration skills, with the ability to work across technical and business teams.

Preferred Experience

• 7+ years of cloud, platform or software engineering, including substantial production AWS experience and responsibility for architecture.
• Strong knowledge of identity, networking, compute, storage and event-driven services.
• Experience building shared platforms, internal developer products, APIs, SDKs, or reusable services for multiple engineering teams.
• Experience leading architecture reviews, establishing technical standards, documenting platforms, or mentoring engineers.
• Experience with agentic AI platforms, multi-agent systems, Model Context Protocol, or similar tool and context integration patterns.
• Familiarity with OAuth 2.0, OpenID Connect, workload identity, Microsoft Entra ID, or comparable identity platforms.
• Experience with AI governance, model evaluation, safety testing, policy enforcement, or lifecycle management.
• Experience in financial services or another regulated environment with strong audit, privacy, security, and access-control requirements.
• Relevant cloud, security, platform, or AI certifications, or equivalent practical experience.

At HedgeServ, our people are at the core of everything we do. We aspire to grow and challenge the status quo and it is our high calibre talent that drives our progress. We deliver success with the biggest clients because we have the best people working for us. We're committed to rewarding performance with competitive salary & benefits packages and ongoing learning and development opportunities. If you’d like a challenging and rewarding career, we’d love to hear from you. HedgeServ has a culture of innovation, excellence, and continuous improvement which has continued to evolve through our employees. Our corporate values create a sense of shared purpose and belonging as we work together to achieve the vision and mission of HedgeServ. We experience successful results through demonstrating the below values and behaviors which are at the core of how we communicate with employees and clients. We work in partnership with each other and our clients; collaboration is at the core of what we do. We work collaboratively, focusing on end-to-end ownership and autonomy in our processes. We share knowledge across our teams and offices to gain expert and diverse views. We develop long-term relationships through investment and commitment to our employees and clients. We communicate in personal, inviting, and authentic ways whether face-to-face or virtually. We empower and trust employees so they can realize their full potential on an individual and organizational level. We leverage our global reach for positive local impacts. We focus on employee health and well-being. We are empathetic and committed to diversity and inclusion. We listen to each other and think about what we want to say and then respond. We embrace corporate social responsibility and our ability to impact and enlarge the lives of our team, their families, our clients, and the world around us. We embrace an entrepreneurial spirit and growth mindset where change is a positive dynamic. We confidently challenge the status quo with respect and positive intent. We offer a leading-edge suite of proprietary technology applications. We rapidly adapt to current information, changing conditions, or unexpected obstacles. We act with vision, agility, and resilience. We listen to each other’s ideas and value diverse perspectives. We are the most experienced team of industry experts. We share our knowledge with each other to make us stronger; we share our knowledge with our clients to make them stronger. There is no question we can’t answer, nor any problem we can’t solve. We cultivate a productive and agile environment which allows us to anticipate our clients’ needs and consistently deliver solutions in real time. We embrace an entrepreneurial spirit while leveraging the resources of a global organization. We scale our resources to meet the requirements of our clients. We foster continuous training and professional development.