Senior Forward Deployed Engineer

Cotiviti, Inc.
Austin, TX, United States
2 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Architectural Patterns Microsoft Azure Information Engineering Python (Programming Language) Machine Learning Open Source Technology Rapid Prototyping Process Software Deployment Software Engineering
+15 more
Web Application Frameworks Pinecone Cloud Platform System LangChain Retrieval-Augmented Generation Large Language Models Fastapi Containerization Weaviate Machine Learning Operations FAISS Virtual Agents Api Design Docker Databricks

Job description

We are hiring a Senior Forward Deployed Engineer (FDE) to lead complex, client-facing AI engineering projects. This role blends deep technical expertise with high-level consulting skills: you’ll be responsible for scoping, designing, and delivering mission-critical AI solutions, while guiding clients through technical and strategic decision-making. You’ll act as both a trusted advisor and a hands-on technical leader, embedded directly with client teams to ensure the successful deployment and adoption of AI technologies., * Lead architecture and design of AI/ML solutions tailored to unique client requirements, balancing scalability, performance, and maintainability.

  • Guide clients through decisions related to LLM integration, data engineering, infrastructure design, and model operations.
  • Own end-to-end solution delivery, from exploration and rapid prototyping to production deployment and handoff.
  1. Client Engagement & Consulting
  • Serve as the senior technical point of contact during client engagements-trusted by executives, product leaders, and technical teams alike.
  • Conduct technical discovery, shape implementation roadmaps, and communicate risks and trade-offs clearly to diverse stakeholders.
  • Influence long-term client strategy through technical advisory, architectural reviews, and enablement sessions.
  1. Deep AI Engineering
  • Build AI-driven applications using modern frameworks and tools (e.g., Python, LangChain, FastAPI, Docker, cloud-native platforms).
  • Design and implement workflows involving generative AI (e.g., retrieval-augmented generation, prompt tuning, embeddings pipelines).
  • Collaborate with internal research, data, and platform teams to extend company-wide best practices to client-specific contexts.
  1. Mentorship & Technical Enablement
  • Mentor junior engineers and consultants across engagements, fostering a high bar for technical quality and client service.
  • Help define internal tooling, architecture patterns, and deployment playbooks based on field experience.
  • Represent the engineering team in pre-sales discussions, project scoping, and high-stakes strategic planning.

Requirements

Use Cases, Software Agents, Machine Learning, Artificial Intelligence (AI), Systems Scalability, Engineering, Embedded Systems, Consulting, Technical Leadership, Customer Relations, This is an ideal role for someone who thrives in ambiguous environments, enjoys solving hard real-world problems with code, and wants to shape the future of AI in enterprise., * 5-8+ years of software engineering experience, with at least 3+ years in AI/ML-focused roles.

  • Demonstrated experience leading technical delivery in a client-facing or consulting environment.
  • Strong understanding of modern AI architectures, including experience deploying LLMs, building RAG pipelines, and working with vector databases (e.g., Pinecone, Weaviate, FAISS).
  • Fluency in Python, with experience in cloud platforms (AWS, GCP, or Azure), containerization, and scalable API design.
  • Excellent interpersonal and communication skills; able to command technical and business conversations with senior stakeholders., * Experience in regulated or high-complexity environments (e.g., finance, healthcare, legal, government).
  • Familiarity with enterprise AI lifecycle tools (e.g., MLflow, Ray, Databricks, Airflow).
  • Contributions to open-source AI tools or internal frameworks in previous roles.
  • Willingness to travel for key client engagements (if applicable).

Benefits & conditions

  • Executive-level impact and visibility across high-profile client projects.
  • Leadership opportunities in a rapidly growing AI services company.
  • Competitive compensation, including salary, performance bonuses, and equity.
  • Remote flexibility with options for on-site work and client immersion.
  • A high-trust, high-caliber team passionate about shaping the AI frontier.

About the company

We are a technology services company on the frontier of applied AI. We partner with forward-thinking organizations to build, customize, and deploy high-impact AI solutions-from generative models and intelligent agents to scalable machine learning systems. Our work spans industries and use cases, and we operate as both builders and strategic partners to help our clients unlock the full potential of artificial intelligence.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Loading talks and stories from around this role…