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Manager Forward Deployment Engineer (DevOps, AI Deployment) AI Deployment & DevOps Engineering | Forward Deployed Engineering Experience Required 9 to 16 years, including team and delivery leadership. Job Summary An engineering leader who owns how AI solutions are deployed into enterprise environments across a set of accounts. You will own delivery, standards, and the customer relationship, and set the direction for building, securing, and operating AI applications in production on AWS. Key Responsibilities Own the delivery of AI deployment work across your accounts, including scope, quality, timelines, and standards. Set direction and standards for CI/CD, Infrastructure as Code, cloud architecture, security, and MLOps/LLMOps. Lead the responsible integration of AI solutions into legacy and regulated enterprise environments at scale. Act as senior escalation and decision-maker on complex or high-stakes deployments. Build reusable accelerators and patterns that raise deployment quality across the practice. Build, lead, and grow the team through hiring, coaching, and development. Own senior customer relationships and communicate progress, risks, and value. Surface delivery friction and product gaps to leadership as structured field intelligence. Required Qualifications Extensive DevOps or platform engineering experience, including leading teams and owning delivery at scale. Current depth in AWS, Kubernetes, CI/CD, and Infrastructure as Code. Proven enterprise integration experience with security, identity, and governance constraints. Proven ownership of delivery outcomes and senior customer relationships. A clear strategy for productionising AI at scale (LLMOps/MLOps), including responsible AI, backed by delivery experience. Strong leadership and communication skills; decisive under pressure. Mandatory: AWS, DevOps, or GenAI certification (at least one) is required. Preferred Qualifications AWS enterprise-scale architecture experience. Enterprise AI and data platforms (Palantir Foundry, Databricks, Snowflake). A background in consulting or managed services. Experience in regulated industries. A leadership or delivery certification (e.g., PMP, SAFe). AWS Certified Solutions Architect Professional and/or AWS Certified DevOps Engineer Professional. Technical Skills & Tools Cloud & platform: AWS (Bedrock, SageMaker, EKS, Lambda, IAM), Kubernetes Delivery & IaC: CI/CD (GitHub Actions, GitLab CI, ArgoCD), Terraform AI productionisation: LLMOps / MLOps, model serving, evaluation, responsible AI, governance Security & compliance: IAM, secrets management, network security, data governance Good to have: Enterprise AI and data platforms (Palantir Foundry, Databricks, Snowflake), MLflow Soft Skills & Competencies Leadership of both a team and a customer relationship. Stakeholder and customer management. Decisive under pressure. Coaching and people development. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.