The AI Platform Engineer will design and build backend services for enterprise systems, manage cloud infrastructure, implement CI/CD pipelines, and ensure AI governance and security in the organization.
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
We are seeking an AI Platform Engineer to build and run the technical foundation of our Enterprise Insights Platform, with Glean as the core Work AI / GPT layer and hub for low-code/no-code AI tools.
This is a hands-on engineering role focused on platform engineering, automation, and integrations. You will work closely with the Product Owner, AI Platform Administrator, Enterprise AI, security, and application teams
Core Responsibilities
- Platform & integrations: Design and build backend services and integrations that expose Glean/LLM capabilities to internal applications and connect to key enterprise systems (SaaS, data platforms, line-of-business apps).
- AI app store & agents: Implement the backend and infrastructure for an internal AI app store/marketplace for Glean agents and workflows, including catalog, metadata, approvals, and permissions.
- Agent lifecycle & CI/CD: Implement agent promotion and release processes (dev/test/prod) and build CI/CD pipelines (e.g., AWS CodePipeline, GitHub Actions, GitLab CI) for agents, workflows, and supporting services.
- Cloud infrastructure & IaC: Design and manage AWS infrastructure using Terraform or AWS CDK, and containerize workloads with Docker on ECS Fargate or EKS.
- Observability & reliability: Configure CloudWatch and OpenTelemetry for LLM observability (latency, errors, token usage) and implement logging, metrics, and alerts for platform health and integration reliability.
- Cost management: Track and optimize platform costs using CloudWatch Budgets and related AWS cost tools.
- Security & governance: Implement authentication/authorization patterns and technical guardrails that support AI governance, data privacy, and least-privilege access.
Required Experience & Skills
- Education: Bachelor’s degree in Computer Science, Engineering, or related technical field; or equivalent practical experience.
- Preferred: AWS Solutions Architect Associate or Professional OR Kubernetes/CNCF certifications
- Experience:
- Technical skills:
- AI / LLM skills:
- Collaboration & communication:
o 5+ years in software, platform, or infrastructure engineering.
o 2+ years in cloud/platform/SRE, MLOps, or data/AI infrastructure roles.
o Proven experience delivering production systems that integrate multiple services via APIs.
o Strong programming skills in at least one of: Python, TypeScript/JavaScript, Go, or Java.
o Practical experience with AWS.
o Hands-on experience with IaC (Terraform or AWS CDK).
o Experience with containers and orchestration (Docker, ECS Fargate and/or EKS/Kubernetes).
o Familiarity with CI/CD tooling (AWS CodePipeline, GitHub Actions, GitLab CI, or similar).
o Experience configuring CloudWatch and OpenTelemetry (or similar) for observability.
o Experience monitoring and optimizing cloud costs (CloudWatch Budgets or equivalent).
o Practical experience with enterprise search, LLM/GPT APIs, or Work AI platforms (e.g., Glean, Microsoft 365 Copilot, ChatGPT Enterprise, etc.).
o Understanding of key concepts such as RAG, vector search, and prompt engineering, or demonstrated ability to learn quickly.
o Strong problem-solving and debugging skills across distributed systems.
o Ability to communicate clearly and work effectively with product, security, data, and application teams.
Nice to Have
- Experience with Glean specifically, or adjacent Work AI/enterprise search platforms.
- Experience building internal developer platforms, marketplaces, or app stores.
- Experience in regulated or security-sensitive environments.
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
India Employment Benefits include:
Top Skills
AWS
Aws Cdk
Aws Codepipeline
Cloudwatch
Docker
Ecs Fargate
Eks
Github Actions
Gitlab Ci
Go
Java
JavaScript
Opentelemetry
Python
Terraform
Typescript
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