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# Forward Deployed AI Engineer

- **Company:** Select Solutions Group LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Audit Trail, Continuous Integration, Github, Python (Programming Language), PostgreSQL, MongoDB, Role-Based Access Control, SQL Databases, Datadog, 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
- **Published:** October 7, 2026
- **Apply:** https://www.dice.com/job-detail/959dac2b-57a6-45bf-b673-c33ebc8b85bf

## About the Role

* 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.

## 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.