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Company Overview
A global professional services and technology consulting organization seeks a Senior Forward Deployed Engineer (FDE) to help clients implement enterprise-scale AI solutions. The company combines deep engineering expertise with industry knowledge to deliver AI, data, and cloud transformations, enabling clients to modernize operations and achieve measurable business impact across sectors.
Position Summary
The Senior Forward Deployed Engineer (FDE) collaborates with clients to design, prototype, and deploy high-impact GenAI-enabled solutions. This role combines product development, engineering, and client engagement, placing the engineer at the forefront of enterprise AI transformation initiatives.
Responsibilities
Client Engagement
Embed with client teams to identify business needs and translate them into actionable GenAI solutions
Partner with product owners, architects, and engineers to align priorities and delivery
Lead working sessions to define solutions and drive client outcomes
Prototype and deliver AI-enabled solutions using emerging technologies and industry expertise
Mentor junior FDEs and support client teams on platform capabilities and AI adoption
Contribute to proposals, demos, orals, and knowledge transfer to ensure smooth engagement execution
Solution Engineering
Build AI solutions, agentic platforms, and enterprise workflows
Develop scalable AI engineering patterns, tools, and human-in-the-loop processes
Apply architecture principles balancing quality, safety, latency, cost, and model risk
Deliver production-quality code with strong practices in testing, CI/CD, logging, versioning, and documentation
Contribute reusable assets including code libraries, prompts, runbooks, and reference implementations
Team Environment
Collaborate with the AI & Engineering team to build, deploy, and operate sector-specific software and data solutions
Transform client engineering teams and modernize technology and data platforms using leading-edge capabilities
Tailor delivery models to meet client-specific requirements and operational contexts
Required Qualifications
Bachelor’s degree (or equivalent) in Computer Science, Data Science, or Engineering
5+ years of experience in software engineering, data engineering, data science, or analytics engineering
1+ years hands-on experience building and deploying GenAI/LLM-powered solutions in production or client environments
1+ years experience with Microsoft AI & Data, including Azure AI Foundry
1+ years leading project workstreams and translating business problems into AI solutions
1+ years building reliable, maintainable, and well-documented code
Willingness to travel up to 50% based on client engagements
Limited immigration sponsorship may be available
Preferred Qualifications
Experience with cloud environments (AWS, Azure, GCP) and platform services (compute, storage, IAM, networking)
Ability to work directly with client technical teams and stakeholders in fast-paced, ambiguous environments
Data engineering experience with Spark, Airflow/dbt, streaming, or data modeling
Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
Experience in hybrid onshore/offshore teams
Familiarity with security, privacy, and compliance considerations
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.
1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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