Sutherland is seeking a highly talented Forward Deployed Engineer to join our AI and Digital Engineering team. In this role, you will work directly with global enterprise customers to design, build, and deploy AI-powered solutions on Google Cloud that solve real business challenges and create measurable impact.
You will collaborate with customers, product teams, architects, and engineers to turn innovative ideas into production-ready applications leveraging Generative AI, cloud technologies, and modern software engineering practices.
Job DescriptionAs a Forward Deployed Engineer, you will serve as the bridge between customers and engineering teams, helping enterprises adopt and scale AI solutions. You will work closely with business and technical stakeholders to understand problems, design solutions, and rapidly deliver high-impact AI applications on Google Cloud.
This role combines software engineering, solution architecture, customer engagement, and AI innovation.
Responsibilities
- Partner directly with enterprise customers to understand business challenges and identify AI opportunities.
- Design, develop, and deploy AI-powered applications using Google Cloud and Generative AI technologies.
- Build solutions using LLMs, RAG, AI agents, APIs, and enterprise data platforms.
- Develop scalable backend services, integrations, and cloud-native applications.
- Lead technical workshops, architecture discussions, and solution design sessions with customers.
- Rapidly prototype, test, and iterate on AI use cases to drive business value.
- Collaborate with product managers, data scientists, and engineering teams to deliver production-ready solutions.
- Ensure solutions meet standards for scalability, security, reliability, and performance.
- Support customer deployments and serve as a trusted technical advisor throughout project delivery.
- Stay current with emerging AI and cloud technologies and help drive innovation across the organization.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 1–4 years of experience in software engineering, solutions engineering, machine learning, or technical consulting.
- Strong programming skills in Python, Java, Next JS, Go, JavaScript, or similar languages.
- Experience building applications on Google Cloud Platform (GCP).
- Knowledge of cloud-native architectures, APIs, microservices, and distributed systems.
- Experience with Generative AI technologies, including LLMs, RAG, vector databases, AI agents, and prompt engineering.
- Familiarity with Google Cloud services such as Vertex AI, BigQuery, Cloud Run, GKE, and related technologies.
- Strong problem-solving, communication, and stakeholder management skills.
- Ability to work independently and thrive in fast-paced, customer-facing environments.
Preferred Qualifications
- Experience delivering enterprise AI, analytics, automation, or digital transformation solutions.
- Hands-on experience with Gemini, OpenAI, Claude, LangChain, LangGraph, or similar AI frameworks.
- Exposure to solution architecture, technical consulting, or customer-facing engineering roles.
- MBA from a leading institution or experience working closely with business stakeholders is a plus.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 1-4 years of experience in software engineering, solutions engineering, machine learning, or technical consulting
- Strong programming skills in Python, Java, Next JS, Go, JavaScript, or similar languages
- Experience building applications on Google Cloud Platform (GCP)
- Knowledge of cloud-native architectures, APIs, microservices, and distributed systems
- Experience with Generative AI technologies, including LLMs, RAG, vector databases, AI agents, and prompt engineering
- Familiarity with Google Cloud services such as Vertex AI, BigQuery, Cloud Run, GKE
- Strong problem-solving, communication, and stakeholder management skills
- Ability to work independently and thrive in fast-paced, customer-facing environments
- Experience delivering enterprise AI, analytics, automation, or digital transformation solutions
- Hands-on experience with Gemini, OpenAI, Claude, LangChain, LangGraph, or similar AI frameworks
- Exposure to solution architecture, technical consulting, or customer-facing engineering roles
- MBA or experience working closely with business stakeholders
Sutherland Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sutherland and has not been reviewed or approved by Sutherland.
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Flexible Benefits — Flexible scheduling and work-from-home arrangements are offered on certain programs, supported by remote-work infrastructure and virtual IT support. Program-specific flexibility is emphasized for “Sutherland Anywhere” roles.
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Leave & Time Off Breadth — Paid time off and paid training are positioned as standard elements, with some materials also highlighting flexible vacation days. Core leave features are presented as part of the baseline package.
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Strong & Reliable Incentives — Performance incentives, bonuses, and commissions are available on selected programs to supplement base pay. Goal-linked earnings opportunities are described for certain functions.
Sutherland Insights
What We Do
We make digital ?????™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman
