Forward Deployed Engineer

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Logo of Sutherland

Sutherland

10,000+ employees

Founded 1986

🤝 B2B

🤖 Artificial Intelligence

☁️ SaaS

💰 $300M Secondary Market on 2014-10

B2B • Artificial Intelligence • SaaS

Sutherland is a global company specializing in digital transformation and business process outsourcing services. They leverage advanced technologies such as Artificial Intelligence, automation, and cloud engineering to drive digital performance and optimize critical business operations. Sutherland offers a variety of services including digital CX, enterprise technology solutions, and intelligent automation across multiple industries such as banking, healthcare, and telecommunications. Their focus is on delivering measurable outcomes, enhancing customer experiences, and enabling business agility through innovative digital solutions.

📋 Description

• 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

• 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

• Employees can work remotely

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