Sutherland
Technology
ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Forward Deployed Engineer at Sutherland. Skills: AI-powered solutions, Google Cloud, Generative AI, Software engineering. Partner with enterprise customers. Understand business challenges”
What You'll Achieve.
Create measurable impact; Turn innovative ideas into production-ready applications; Deliver high-impact AI applications; Drive business value
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
Bachelor's or Master's degree, 1–4 years of experience, Programming skills in Python, Java, Next JS, Go, JavaScript, Experience building applications on Google Cloud Platform, Knowledge of cloud-native architectures, APIs, microservices, and distributed systems, Experience with Generative AI technologies, Problem-solving skills, Communication skills, Stakeholder management skills, Ability to work independently, Thrive in fast-paced, customer-facing environments
Nice to Have
Experience delivering enterprise AI, analytics, automation, or digital transformation solutions, Hands-on experience with Gemini, OpenAI, Claude, LangChain, LangGraph, Exposure to solution architecture, Exposure to technical consulting, Exposure to customer-facing engineering roles, MBA from a leading institution, Experience working closely with business stakeholders
What You'll Do.
Partner with enterprise customers
Understand business challenges
Identify AI opportunities
Design AI-powered applications
Develop AI-powered applications
Deploy AI-powered applications
Build solutions using LLMs
Build solutions using RAG
Build solutions using AI agents
Build solutions using APIs
Build solutions using enterprise data platforms
Develop scalable backend services
Develop cloud-native applications
Lead technical workshops
Lead architecture discussions
Lead solution design sessions
Rapidly prototype AI use cases
Iterate on AI use cases
Collaborate with product managers
Collaborate with data scientists
Collaborate with engineering teams
Ensure solutions meet standards
Support customer deployments
Serve as trusted technical advisor
Stay current with AI technologies
Stay current with cloud technologies
Drive innovation across organization
How You'll Work.
Team & Collaboration
Customer collaboration; Product teams collaboration; Architects collaboration; Engineers collaboration; Business stakeholders collaboration; Technical stakeholders collaboration; Product managers collaboration; Data scientists collaboration; Engineering teams collaboration
Communication Scope
Stakeholder management
Full Job Description
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. As 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. ## Qualifications * Bachelor's or Master's de
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