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Added 15 mins ago
Senior Software Engineer
DomainTools
Remote, United States
DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect for a creative problem-solver with deep expertise in large-scale data engineering and a…
Added 15 mins ago
Senior Software Engineer
DomainTools
Remote, United States
DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect for a creative problem-solver with deep expertise in large-scale data engineering and a…
Added 15 mins ago
Senior Software Engineer
DomainTools
Remote, United States
DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect for a creative problem-solver with deep expertise in large-scale data engineering and a…
Added 15 mins ago
Senior Software Engineer
DomainTools
Remote, United States
DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect for a creative problem-solver with deep expertise in large-scale data engineering and a…
Added 39 mins ago
Sr. Full-Stack Developer with Agentic AI (Clearance Required)
Jobgether
Remote, United States
…innovative digital solutions for complex government missions. As a Senior Full-Stack Developer with Agentic AI expertise, you will use advanced AI-powered coding tools to rapidly enhance…
Added 39 mins ago
J
Senior QA/SDET
Jobgether
Remote, United States
- $180,000 to $210,000 USD / year
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior QA/SDET based in the United States.
Added 4 hours ago
Senior Developer - Full Stack
Cydcor
Remote, United States
…engineering stack spanning Salesforce, MuleSoft, Informatica Cloud, Python, PostgreSQL, and AWS. We are looking for a seasoned engineer who is excellent at engineering fundamentals first…
Added 5 hours ago
C-
Principal Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $150,000 to $175,000 USD / year
Mentor senior and junior engineers, lead design reviews, and raise the judgment of the whole team rather than just its throughput
Added 5 hours ago
C-
Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted…
Added 5 hours ago
C-
Senior Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform - including our web applications, back-end data pipelines,…
Added 6 hours ago
C
Senior DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
We have an immediate need for a highly skilled Senior-level DevSecOps Engineer to support federal programs hosted on AWS GovCloud. This role requires expertise in DevSecOps best practices,…
Added 6 hours ago
C
Senior Applications Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
Credence has an immediate opening for a Senior Applications Engineer who will be primarily responsible for supporting the Defense Logistics Agency, Defense Automated Addressing Systems…
Added 6 hours ago
C
Senior Google AI Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will…
Added 6 hours ago
Cloud Platform Engineer- Entry Level
Credence
Remote, United States
…customers. You will join an established platform team, learn from senior engineers, and take on increasing ownership of operational and automation…
Added 8 hours ago
Mojo Libraries Engineer (Copy)
Modular
Remote, United States
…assistance provided for out-of-state candidates based in the US. Senior members have both in office or remote flexibility. Onboarding for new hires is conducted in Los Altos,…
Added 8 hours ago
C|
Senior Software Engineer III, Backend
Connexity | Skimlinks, a Taboola company
Remote, United States
- $175,000 to $200,000 USD / year
We are seeking a skilled and motivated Senior Software Engineer III, Backend to join our Internal Tools team. Our team owns the design and implementation of our next-generation internal…
Added 11 hours ago
Project Manager, Settlements
Clean Power Alliance
Remote, United States
The Project Manager, Settlements reports to the Senior Manager, Market Operations. You will work closely with internal teams including but not limited to the Power Supply and Finance teams.
Added 14 hours ago
Senior Machine Learning Engineer
Canopy
Remote, United States
As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you’ll contribute to the development of cutting-edge AI solutions to…
Added 14 hours ago
Senior AI Engineer
TSGUS HCG LLC
Remote, United States
Senior AI Engineer, Agentic Solutions & Workflows
Added 15 hours ago
Senior MLOps Engineer
C the Signs
Remote, United States
We’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll…
Added 15 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Added 15 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Added 15 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Added 15 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Added 15 hours ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).

Closed listing

Jobgether

Senior Forward Deployed AI Engineer (GenAI, AWS)

Remote, United States

$180,000 to $200,000 USD / year

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: $180,000 to $200,000 USD / year
Experience: Typically 7+ years of professional software engineering experience, including substantial hands-on responsibility for production systems.
Posting language: English
Posted: Oct 29, 2026

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Original job description

Archived listing. The details below describe a past opening.

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Forward Deployed AI Engineer (GenAI, AWS) based in the United States.

As a Senior Forward Deployed AI Engineer, you will design, build, and deploy production-ready generative AI solutions for enterprise clients across financial services, healthcare, and other regulated industries. You will work directly within client teams to understand complex business operations and transform them into practical, AI-powered systems. Using advanced LLM technologies, including Claude, alongside AWS cloud infrastructure, you will take solutions from initial discovery to production deployment and measurable business impact. You will have the autonomy to shape technical approaches, make critical engineering decisions, and take ownership of end-to-end delivery. Working in an environment that values experimentation, technical excellence, and customer collaboration, you will tackle diverse challenges across industries and business functions. You will also contribute to reusable AI frameworks, industry-specific solutions, and best practices that accelerate enterprise AI adoption.

Accountabilities

• Embed directly within client teams to understand their operational workflows, business constraints, and objectives before designing and implementing AI-powered solutions.

• Rebuild and optimize business functions from first principles, collaborating with client stakeholders and forward-deployed leadership to translate complex problems into effective technical solutions.

• Design, develop, test, and deploy production-grade generative AI and agentic systems using Claude, AWS, and other relevant technologies, ensuring reliability, scalability, and operational readiness.

• Own the entire delivery lifecycle, from problem discovery and solution architecture to implementation, evaluation, deployment, and continuous improvement.

• Develop and maintain evaluation frameworks for non-deterministic AI systems, defining meaningful performance metrics and validating system quality against real-world requirements.

• Leverage existing industry blueprints and proven implementations as starting points for new engagements, incorporating lessons learned into reusable tools, frameworks, and delivery practices.

• Deliver solutions across AI workflow activation, agentic software development lifecycle (SDLC) initiatives, and industry-specific implementations, particularly in financial services and healthcare.

• Participate in pre-sales activities, technical discovery, and solution scoping, communicating effectively with senior business and technology stakeholders.

• Contribute to the evolution of enterprise AI delivery methodologies, engineering standards, and reusable platforms that support scalable adoption of generative AI.

• Share technical knowledge and strengthen professional visibility through open-source contributions, technical publications, conference presentations, and collaboration with experienced AI engineers.

Requirements:

• Typically 7+ years of professional software engineering experience, including substantial hands-on responsibility for production systems. A strong commitment to remaining actively involved in coding and technical delivery is essential.

• Proven experience deploying generative AI or large language model (LLM) applications into production, with a practical understanding of the challenges that arise beyond prototyping.

• Demonstrated ability to evaluate non-deterministic AI systems by building or owning evaluation suites, defining appropriate metrics, and explaining the rationale behind evaluation methods.

• Strong software engineering fundamentals and the ability to become productive quickly in unfamiliar codebases, programming languages, and technical environments.

• Proficiency in Python and/or TypeScript, with a focus on engineering depth, maintainability, and production-quality implementation.

• Experience designing and delivering cloud-native solutions on AWS, including operational considerations, reliability, scalability, and maintainability. Experience with GCP or Azure is an advantage.

• Hands-on experience with Claude, Claude Code, and Cowork, including skills, workflows, Model Context Protocol (MCP), integrations, connectors, and custom harnesses.

• Ability to understand unfamiliar business functions quickly, engage with end users and operators, and translate real operational needs into effective technical solutions.

• Experience in pre-sales, technical consulting, or solution discovery, with the ability to communicate credibly with senior business leaders, CTOs, and other executive stakeholders.

• Strong ownership, adaptability, and problem-solving skills, with the confidence to navigate ambiguity, define approaches independently, and drive engagements from discovery through production.

• Excellent communication and collaboration skills, particularly in environments where engineers work closely with clients and must balance technical quality with measurable business outcomes.

Nice to have:

• Experience with containerization and orchestration technologies such as Docker, Kubernetes, or Amazon ECS.

• Practical knowledge of CI/CD pipelines and production deployment automation.

• Infrastructure-as-code experience using AWS CDK, CloudFormation, or Terraform.

• Open-source contributions, technical publications, or public writing focused on applied AI and software engineering.

• Experience working with regulated industries, particularly financial services, insurance, or healthcare.

Benefits:

• Competitive compensation: Base salary of $180,000–$200,000 per year, plus performance-related bonuses, with on-target earnings (OTE) of up to $250,000.

• Full-time employment: Opportunity to work on challenging enterprise AI projects with direct business impact.

• Remote work: Primarily remote work, with on-site visits to client facilities and the New York City office approximately once per week.

• Flexible time off: Unlimited vacation policy.

• Comprehensive healthcare: Generous medical, dental, and vision insurance coverage.

• Retirement savings: 401(k) plan with employer matching.

• Advanced AI technology: Opportunities to work with frontier Claude models, AWS services, and production-grade generative AI systems.

• Professional development: Collaboration with experienced AI engineers, access to technical learning opportunities, and support for relevant certifications.

• Technical visibility: Opportunities to contribute to open-source projects, publish technical work, and participate in industry conferences and events.

• End-to-end ownership: Autonomy to shape solutions, influence technical decisions, and see projects through to production.

• Cross-industry experience: Exposure to diverse business challenges and opportunities to build transferable expertise across multiple domains.

• Important eligibility note: Visa sponsorship is not available.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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