[Hiring] Forward Deployed Engineer @TEKsystems
Forward Deployed Engineer @TEKsystems
Artificial Intelligence
Salary usd 80 - 85 per..
Remote Location
🇺🇸 USA Only
Employment Type contract
Posted 1wk ago

[Hiring] Forward Deployed Engineer @TEKsystems

1wk ago - TEKsystems is hiring a remote Forward Deployed Engineer. 💸 Salary: usd 80 - 85 per hour 📍Location: USA

Role Description

As a Forward Deployed AI Engineer, you will own the end-to-end development and launch of GenAI applications through Adobe and third-party generative models. You are an AI native who will embed directly into customer teams to spin up proof points in days and co-develop features that enhance customer value. If you thrive in start-up environments—scaling products from prototype to production, pushing innovative research into real-world use cases, and owning product & business outcomes—you’ll fit right in here!

What You’ll Do

  • Collaborate & Innovate: Partner with Technical Architects, Engagement Managers and Product teams to define customer requirements/use cases, facilitate technical workshops, and co-create specific GenAI solutions.
  • Prototype Rapidly: Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and drive quick wins. UX/UI and rapid prototyping skills are a plus.
  • Engineer End-to-End: Design, build, and deploy full-stack applications and microservices—integrating Firefly APIs, Common Extensibility Platform, GenStudio for Performance Marketing, headless CMS architectures and UX/UI Designs.
  • Bridge to Product: Capture field-proven use cases and funnel them back to Product & Engineering—fueling the Firefly roadmap.
  • Automate & Scale: Develop reusable components, CI/CD pipelines, and governance checks to ensure consistent, repeatable delivery.
  • Operate at Speed: Thrive in a constantly evolving, start-up-like environment—own delivery sprints, tackle challenges on-site/remotely, and adapt to evolving AI trends.
  • Share & Elevate: Document your playbooks, prompts, and patterns in our internal knowledge base—helping the whole organization move faster.

Qualifications

  • Full-Stack Expertise: 3+ years as a full-stack developer or technical consultant building and launching production software (React.js/Next.js/Angular; Node.js/Java Spring Boot; REST/GraphQL, HTML, JavaScript, Java, XML).
  • GenAI Mastery: Extensive hands-on experience with modern AI technologies, including:
    • Large Language Models (LLMs) – OpenAI GPT, Anthropic Claude, Meta Llama, Mistral, etc.
    • Diffusion models (Adobe Firefly, Stable Diffusion, DALL·E, Midjourney)
    • Retrieval-Augmented Generation (RAG) pipelines, vector databases (Pinecone, Weaviate, FAISS), and semantic search
    • Fine-tuning, prompt engineering, and model optimization
    • AI agent frameworks (AutoGen, LangChain, LlamaIndex)
    • Multimodal AI (text, image, video, audio processing)
  • Cloud & DevOps Expertise: Proficient with core services (EC2, S3, Lambda, IAM, CloudFormation) and AI/ML tools (SageMaker, Bedrock).
  • Azure: Experience with compute (VMs, Functions), storage (Blob), and AI services (Azure OpenAI, Cognitive Services).
  • Containerization & Orchestration: Docker, Kubernetes, and serverless deployments.
  • CI/CD & IaC: GitLab CI/CD, Jenkins, GitHub Actions, Terraform, or equivalent.
  • Monitoring & Logging: CloudWatch, Azure Monitor, Datadog, or similar.
  • AI Tinkerer: AI-native tinkerer who embeds AI in your day-to-day workflows and spends your free time inventing and tinkering with the possibilities of AI.
  • Adobe Fluency: Deep understanding of Adobe Creative Cloud APIs/SDK/CEP, Firefly Services APIs, and nice to have: Adobe Experience Cloud integrations (AEM, Workfront Fusion, AJO or equivalent experience).
  • Customer-Centricity: Always prioritizing the customer and their needs and expectations first in everything you do.
  • Strong communicator: You translate complex AI concepts for both engineers and executives and guide customers through technical decisions aligned to business objectives.
  • Startup DNA: Thrives in fast-paced, ambiguous environments—relentlessly seeking better, faster, more innovative ways to solve customer objectives and challenges.

Requirements

  • This is a Contract position based out of San Jose, CA.
  • The pay range for this position is $80.00 - $85.00/hr.

Benefits

  • Medical, dental & vision
  • Critical Illness, Accident, and Hospital
  • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
  • Life Insurance (Voluntary Life & AD&D for the employee and dependents)
  • Short and long-term disability
  • Health Spending Account (HSA)
  • Transportation benefits
  • Employee Assistance Program
  • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Jun 3, 2026.

Before You Apply
🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Forward Deployed Engineer @TEKsystems
Artificial Intelligence
Salary usd 80 - 85 per..
Remote Location
🇺🇸 USA Only
Employment Type contract
Posted 1wk ago
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🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied
Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
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Application Denied
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