Lead AI Engineer – Cloud Infrastructure & Automation
EXL
- Location
- Hybrid (United States)
- Compensation
- $150k - $170k/yr
- Employment
- Full-time
- Level
- Senior Level
About the Role
EXL is seeking a Lead AI Engineer to architect and implement agentic AI systems on AWS that automate Terraform infrastructure-as-code generation. This role drives cloud delivery acceleration through intelligent automation, AIOps integration, and technical leadership.
Skills
Perks
- Annual Bonus
Full job details
Work Location: NY/NJ
Work Mode : Hybrid (2-3 days onsite)
Pay Range :$150K-$170K /Yr Base + Annual Bonus
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Job Overview:
Your primary mandate is to accelerate delivery of business-unit solutions by building AI systems that generate, validate, and ship infrastructure-as-code – Terraform in particular – so environments are stood up faster and more consistently. You will architect agentic applications and workflows on AWS, apply intelligent automation across the platform and cloud operations, and pioneer emerging agentic techniques. As a technical leader, you will set direction, establish standards and guardrails, and mentor engineers while remaining hands-on with design and implementation.