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About the Role
The Forward Deployed Engineer (FDE) bridges the gap between generative AI prototypes and real-world impact. This role involves technical solution delivery, ensuring AI adoption, and creating measurable value by understanding client operational challenges, designing tailored responses, and facilitating team transformation.
Responsibilities
- Analyze clients’ business needs and translate them into concrete, deployable AI solutions.
- Design and implement LLM-based systems: autonomous agents, RAG pipelines, workflow automation, conversational interfaces.
- Integrate these solutions into clients’ existing environments (APIs, databases, business tools).
- Support teams in adopting the deployed tools through evangelization, training, and continuous iteration.
- Iterate quickly with stakeholders to refine solutions in production and maximize their impact.
- Act as the bridge between technical teams and business decision-makers, translating complexity into perceived value.
- Contribute to research efforts on generative AI, agents, and automation.
- Help develop the firm’s offerings: training, working groups, internal and external materials.
- Contribute to the publication strategy: sector blogs, studies, press engagements.
- Support business development by helping define client needs and participating in commercial activities.
Requirements
- Hold an engineering degree or equivalent high-level training in computer science, information processing, or a related field.
- Have hands-on experience with LLMs in production: advanced prompting, RAG, fine-tuning, agent orchestration.
- Proficient in Python and applied AI frameworks (LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK, etc.).
- Comfortable with API integration and connecting heterogeneous systems.
- Able to deploy and operate solutions in a cloud environment (AWS, Azure, or GCP).
- Possess a strong sense of client context — identifying what’s truly useful, prioritizing, and delivering value quickly.
- Able to bring non-technical teams along on a transformation through teaching ability, active listening, and the ability to simplify without oversimplifying.
- Desire to take on high-value responsibilities quickly, within a dynamic, fast-growing AI practice.
- Must be legally authorized to work in the United States and not require visa sponsorship.
Skills
- Generative AI
- LLM implementation
- Autonomous agents
- RAG pipelines
- Workflow automation
- Conversational interfaces
- API integration
- Python
- LangChain
- LlamaIndex
- OpenAI SDK
- Anthropic SDK
- Cloud deployment (AWS, Azure, GCP)
- Change management
- Client relationship management
- Technical communication
Location
- New York City
- Charlotte
- Greater Seattle
- San Francisco Greater Bay Area
- Los Angeles
- Houston
- Atlanta
- Baltimore
- Chicago
- Washington D.C.
Work Type
- Hybrid
- Onsite (client location as needed)
- Full-time
Experience Level
- Mid-level
- Senior
Education Level
- Engineering degree or equivalent high-level training in computer science, information processing, or a related field.
Salary/Compensations
- $130,600 - $147,000
Benefits
- Medical, dental, and vision insurance
- Company-paid life and AD&D insurance
- Voluntary supplemental insurance and EAP
- 401(k) with company match and immediate vesting
- HSA and FSA options
- College savings program
- Student loan repayment program
- Paid parental leave
- Generous PTO
- Nine company holidays
- One floating holiday
- Cell phone stipend
- Well-being programs
- Professional development programs
About the Company
- Sia is a next-generation, global management consulting group founded in 1999, specializing in strategy and management augmented by data science, creativity, and responsibility.
- The AI & Data Business Unit merges cutting-edge Data Science, Generative AI, and advanced digital solutions, with over 350 experts and 12 R&D labs driving innovation.
- Sia believes optimism is a force multiplier, helping clients mitigate downside and maximize opportunity.
Equal Opportunity
- Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
- Fostering a diverse, equitable, and inclusive culture where employees and partners are valued and thrive in a sense of belonging.