Role Description
Must Have Technical/Functional Skills Must-Have Skills and Experience * Strong hands-on engineering skills with experience building prototypes, integrations, or solution accelerators using cloud and API-based technologies. * Experience with Gemini APIs, Vertex AI, Google Cloud, prompt engineering, or similar AI application environments. * Ability to develop agentic workflows, lightweight integrations, and multi-modal demonstrations for customer or partner scenarios. * Strong communication and cross-functional collaboration skills with the ability to connect technical validation to business value. * Total experience: 5 to 7 years, including 3 to 5 years of AI experience, with strong written and spoken English. * Bachelor’s degree in Engineering or Computer Science.
Preferred Skills * Google Professional ML Engineer certification is preferred. * Gemini Enterprise Partner Certification preferred. * Google Associate Cloud Engineer certification preferred. * Applied analytics experience and the ability to convert prototype outcomes into clear value narratives are preferred.
Roles & Responsibilities * Build working prototypes, proof points, and multi-modal demonstrations using Gemini APIs, Vertex AI, and Google Cloud.
- Develop agentic workflows and lightweight integrations to validate technical feasibility for customer-specific scenarios.
- Own technical validation across deal cycles by rapidly translating Gemini Enterprise capabilities into deployable prototype outcomes.
- Apply prompt engineering and Google Gemini ADK to improve prototype quality, usability, and business relevance.
- Translate prototype outcomes into value narratives that support decision-making and accelerate customer progression.
Generic Managerial Skills: * Strong stakeholder management and cross-functional collaboration
- Ability to understand customer requirements and translate them into actionable technical outcomes
- Clear communication of technical concepts to business and non-technical stakeholders
- Ownership mindset with accountability for delivery, timelines, and quality
- Problem-solving ability in ambiguous or fast-moving environments
- Prioritization skills to manage multiple prototypes, demos, or validation requests
- Ability to influence teams without direct authority
- Strong documentation and reporting discipline
- Customer-centric thinking with focus on business value and outcome alignment
- Adaptability to work in pilot, evolving, or high-visibility engagement models
TCS Employee Benefits Summary
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $80,000-$100,000 a year
#LI-DM1
Location Milford, OH Job Function TECHNOLOGY Role Engineer Job Id 421633 Desired Skills Artificial Intelligence Salary Range $80,000-$100,000 a year
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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