Senior Forward Deployed Engineer

Tata Consultancy Services

Milford (OH)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Tata Consultancy Services in Milford, Ohio seeks an experienced AI engineer to develop prototypes and integrations using cloud and API technologies. You will build agentic workflows and multi-modal demos to validate feasibility for customer scenarios, translating insights into actionable technical outcomes.

Strong English communication and 5–7 years total experience are required. The role focuses on rapid prototyping, customer demos, and collaboration with cross-functional teams to drive

Qualifications

  • Total experience: 5–7 years, incl. 3–5 years in AI, with strong English.

Responsibilities

  • Develop prototypes, integrations, and solution accelerators using cloud and API technologies.
  • Create agentic workflows and lightweight integrations to validate technical feasibility for customer scenarios.
  • Develop and demonstrate multi-modal prototypes for customer or partner scenarios.

Skills

Cloud technologies
API integrations
Gemini APIs
Vertex AI
Prompt engineering
AI applications
Prototyping
Multi-modal demos

Education

Bachelor's degree in Engineering or Computer Science

Tools

Gemini ADK
Google Cloud
Vertex AI

Job description

  • 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, 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.
  • Applied analytics experience and the ability to convert prototype outcomes into clear value narratives are preferred.
  • 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 environmentsPrioritization skills to manage multiple prototypes, demos, or validation requests
  • Ability to influence teams without direct authority
  • Customer-centric thinking with focus on business value and outcome alignment
  • Adaptability to work in pilot, evolving, or high-visibility engagement models
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