Forward Deployed Engineering & Applied AI Professionals

TDS Global Solutions

1d

About The Position

TDS Global Solutions is building a specialized Forward Deployed Engineering & Applied AI Talent Network to connect highly technical, customer-facing engineers with current and future opportunities across high-growth technology, AI, SaaS, and venture-backed organizations. The network is intended for professionals working at the intersection of software engineering, artificial intelligence, and customer delivery who can understand complex business problems, architect solutions, build production-grade software, and work directly with customers to deliver those solutions.

Candidates may be considered for confidential current and upcoming searches at emerging startups, venture-backed technology companies, and established enterprise technology organizations. The Executive Recruiting Team will review candidates’ experience, technical backgrounds, and career interests. If a profile aligns with an opportunity, a recruiter may contact the candidate to discuss the role. If there is no immediate match, information may be retained in the Talent Network for consideration as future opportunities arise. Joining the network does not guarantee an interview, submission, or placement; opportunities and qualifications vary by client and position.

Typical searches include forward deployed engineering, applied AI, customer and solutions engineering, architecture, founding engineering, and AI-focused software engineering positions. The network seeks hands-on builders comfortable with ambiguity and fast-moving environments, customer and technical stakeholder engagement, ownership from discovery through production deployment, and translating field insights into product and engineering improvements. Experience in venture-backed startups, high-growth technology companies, AI organizations, or complex enterprise software environments is valued.

Requirements

• Hands-on software engineering and development of production-grade applications.
• Experience with customer-facing technical implementations, integrations, or deployments.
• Experience building and deploying AI, Generative AI, LLM, agentic AI, conversational AI, or Voice AI solutions in one or more areas.
• Experience with full-stack development using technologies such as Python, JavaScript/TypeScript, React, Node.js, Java, or Go.
• Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
• Experience with APIs, enterprise integrations, distributed systems, data infrastructure, or real-time applications.
• Ability to translate customer requirements into scalable technical solutions.
• Ability to work cross-functionally with Engineering, Product, Sales, and Customer Success teams.
• Strong technical depth, communication, and customer-facing skills.
• Comfort operating in ambiguous, fast-moving environments and taking ownership of solutions.

Nice To Haves

• Experience in venture-backed startups, high-growth technology companies, AI organizations, or complex enterprise software environments.
• Experience with distributed systems, production AI infrastructure, data pipelines, solution architecture, technical discovery, technical consulting, implementation, or proofs of concept.
• Familiarity with Generative AI, large language models, AI agents, agentic AI, RAG, conversational AI, Voice AI, NLP, or machine learning.
• Familiarity with Python, JavaScript, TypeScript, React, Node.js, Java, Go, AWS, Google Cloud Platform, or Microsoft Azure.

Responsibilities

• Understand complex customer and business problems and translate them into scalable technical solutions.
• Architect and build production-grade software and AI solutions.
• Work directly with customers and technical stakeholders to deliver solutions.
• Own solutions from discovery through production deployment.
• Translate lessons from customer engagements into improvements across Product and Engineering.
• Work cross-functionally with Engineering, Product, Sales, and Customer Success teams.
• Carry out technical implementations, integrations, and customer deployments as required by specific opportunities.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed