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Sutherland

Forward Deployed Engineer

Sutherland

Forward Deployed Engineer in AI and Digital Engineering team designing and deploying AI-powered solutions for enterprise customers using Google Cloud. Collaborating with customers and engineering teams for impactful AI applications.

Posted 6/16/2026full-timeRemote • 🇮🇳 IndiaJuniorWebsite

Tech Stack

Tools & technologies
BigQueryCloudDistributed SystemsGoGoogle Cloud PlatformJavaJavaScriptMicroservicesPython

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.
  • 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.

Benefits

Comp & perks
  • Employees can work remotely

ATS Keywords

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Hard Skills & Tools
PythonJavaNext JSGoJavaScriptGenerative AILLMsRAGAPIscloud-native architectures
Soft Skills
problem-solvingcommunicationstakeholder managementindependenceadaptabilitycollaborationleadershipinnovationcustomer-facingtechnical advisory
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer ScienceMBA