Forward Deployed AI Engineer

Select Solutions Group LLC
New York, NY, United States
4 days ago
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Role details

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

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Audit Trail Continuous Integration Github Python (Programming Language) PostgreSQL MongoDB Role-Based Access Control SQL Databases Datadog
+21 more
Pinecone Retrieval-Augmented Generation Snowflake Grafana Multi-Agent Systems Prompt Engineering Generative AI Agentic-AI LangSmith Kubernetes Information Technology Apache Kafka Machine Learning Operations Functional Programming Cloudwatch Graph RAG Restful APIs Terraform Docker Jenkins Databricks

Job description

We seek an experienced Forward Deployed AI Engineer to partner with business stakeholders and technical teams to design, build, and deploy enterprise-scale AI solutions. This role owns the full solution lifecycle from requirements through deployment and operations., * Lead AI and GenAI initiatives from requirements to production.

  • Build agentic AI, RAG, GraphRAG, and automation solutions.
  • Develop enterprise AI pipelines and orchestration workflows.
  • Deploy solutions using Kubernetes, Terraform, Docker, and CI/CD.
  • Implement observability, governance, security, and compliance controls.
  • Lead UAT, production readiness, and post-production support.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, AI, or related field.
  • 8+ years of software, data, or AI engineering experience.
  • 3+ years delivering enterprise Generative AI solutions.
  • Experience in regulated industries such as Financial Services.
  • Strong stakeholder and executive communication skills.

Required Technical Skills

  • Agentic AI, Multi-Agent Systems, RAG, GraphRAG, Prompt Engineering
  • Python, SQL, REST APIs
  • AWS Bedrock, Lambda, S3, Glue, Athena, EMR
  • Kubernetes, Docker, Terraform, GitHub Actions, Jenkins
  • Snowflake, PostgreSQL, MongoDB, Kafka, Pinecone
  • Datadog, Grafana, CloudWatch, LangSmith
  • RBAC, PII Masking, Audit Trails and Model Governance

Preferred Qualifications

  • Master’s degree in AI or related field.
  • Financial Services domain experience.
  • AWS or Databricks certifications.
  • Experience leading engineering teams and mentoring developers.

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