Job Description
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Company Overview
A leading global professional services organization is expanding its AI & Engineering practice to help enterprises accelerate AI adoption and digital transformation. The team builds, deploys, and operates cutting-edge AI, software, data, networking, and hybrid cloud solutions that modernize mission-critical business operations. Through collaborative, client-focused delivery models, the organization enables businesses to leverage the latest advancements in Generative AI while driving measurable business outcomes across industries.
The organization is seeking a Forward Deployed Engineer, Frontier GenAI to work directly with enterprise clients, transforming AI concepts into production-ready solutions. This role combines software engineering, AI solution development, and client engagement to rapidly prototype, build, and deploy high-impact Generative AI applications.
Key Responsibilities
- Partner directly with clients to identify business needs and translate high-value Generative AI use cases into scalable solutions.
- Collaborate with business leaders, product owners, architects, and engineering teams to align project priorities and successful delivery.
- Lead solution workshops and technical sessions to define AI implementation strategies.
- Rapidly prototype and deliver production-ready AI applications using modern Generative AI technologies.
- Contribute independently within cross-functional engineering teams while mentoring junior engineers.
- Develop AI-enabled applications, agentic workflows, and enterprise AI platforms.
- Design scalable engineering patterns, human-in-the-loop workflows, and AI tool integrations.
- Apply architectural best practices that balance quality, security, latency, operational cost, and model risk.
- Deliver high-quality, maintainable, and well-tested software following modern engineering practices, including CI/CD, version control, logging, testing, and documentation.
- Build reusable code libraries, prompt libraries, reference implementations, and operational runbooks.
- Support sprint planning, solution design, and technical decision-making throughout project delivery.
Required Qualifications
- Bachelor’s degree (or equivalent) in Computer Science, Data Science, Engineering, or a related technical discipline.
- 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
- 1+ year of hands-on experience building and deploying Generative AI or LLM-powered solutions in production or client environments.
- Experience with one or more leading Frontier GenAI platforms, including Anthropic, Google, or OpenAI technologies such as Claude API, Claude for Enterprise, Gemini API, Vertex AI Agent Builder, GPT-4o, Assistants API, Responses API, or OpenAI Agents SDK.
- 1+ year of experience leading project workstreams and translating business challenges into AI-powered solutions.
- Experience developing reliable, maintainable, and well-documented production software.
- Strong communication and stakeholder management skills with the ability to collaborate directly with enterprise clients.
- Willingness to travel approximately 50% based on project and client requirements.
- Eligibility to work within applicable employment authorization requirements.
Preferred Qualifications
- Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Proven experience working alongside client engineering teams in fast-paced consulting or delivery environments.
- Background in data engineering using technologies such as Spark, Airflow, dbt, streaming platforms, or machine learning pipelines.
- Experience with MLOps or LLMOps, including evaluation frameworks, prompt management, and model monitoring.
- Experience integrating LLM solutions with enterprise systems through APIs, microservices, or event-driven architectures.
- Experience working within hybrid onshore and offshore delivery teams.
- Understanding of enterprise security, privacy, governance, and compliance best practices for AI solutions.
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