AI Engineer III

The AI Engineer III is a senior hands-on technical role responsible for the hands-on development delivery and support of Agentic AI applications across the enterprise. This individual will serve as the technical lead for a team of AI Engineers setting engineering standards collaborating in architecting agentic solutions and ensuring AI systems are built reliably securely and in alignment with business objectives. The role partners closely with the VP Engineering and Data Strategy on execution strategy while owning day-to-day technical delivery and support.

Key Duties/Responsibilities

• Serve as hands-on technical lead for the design development deployment and support of Agentic AI applications including multi-agent workflows and orchestration (25%)
• Hands-on technical coloration code review support and mentorship to AI Engineers and contractors on the team (15%)
• Architect and implement RAG pipelines vector search embedding-based retrieval and LLM integration patterns for production use cases (15%)
• Design and build MCP Server integrations and tool-use frameworks to extend agentic application capabilities (10%)
• Collaborate with the VP Engineering and Data Strategy and cross-functional stakeholders to translate AI strategy and roadmap into technical execution plans (10%)
• Own selection and integration of AI frameworks and platforms ensuring scalability reliability and security of deployed solutions (10%)
• Establish and enforce engineering best practices including CI/CD testing and responsible AI guardrails for agentic systems (10%)
• Monitor emerging AI engineering trends tools and techniques and assess applicability to current initiatives (5%)

Qualifications :

Education

• Bachelors Degree in a technical or numerical field (Required). Masters degree preferred.

Experience

• 8 years experience designing and developing software applications and/or data engineering pipelines
• 3 years experience leading or providing technical directions to engineers on application or AI/ML delivery teams
• Experience in LangGraph LangChain RAG chatbots vector databases NLP-based automation MCP Server development embedding-based search and LLM integration is required
• Experience in microservices architecture Kubernetes OpenShift AWS and/or Azure Spring Boot CI/CD and DevOps automation is required
• Experience with Trino Superset Starburst SQL Server ETL tools S3 Airflow Iceberg PySpark or Hive preferred
• Experience building financial services solutions in big data infrastructure preferred

Knowledge/Skills/Abilities

• Strong hands-on expertise in machine learning frameworks agentic AI architecture and cloud computing platforms
• Proven ability to lead technical delivery and mentor engineers in a fast-paced environment
• Strong communication and facilitation skills; able to translate business requirements into technical designs
• Working understanding of AI ethics data privacy and regulatory considerations relevant to AI systems

Industry Certifications (Preferred)

• AWS Certified Machine Learning Engineer - Associate (MLA-C01) or AWS Certified AI Practitioner
• Microsoft Certified: Azure AI Engineer Associate (AI-102)
• Google Cloud Professional Machine Learning Engineer
• NVIDIA AI/Deep Learning certification (e.g. NVIDIA Certified Associate: AI Infrastructure)
• Databricks Machine Learning Associate

Additional Information :

Salary range: $120000 - $140000 Annually 

Applications will be accepted through August 25 2026 after which the posting will be closed and no longer available for submissions.*

The ultimate compensation offered for the position will depend upon several factors such as skill level cost of living experience and responsibilities.

All team members are responsible for demonstrating the companys Core Values at all times and for using Performance Excellence principles to continuously improve effectiveness efficiency products and services.  This includes but is not limited to participating on improvement teams recommending and implementing improvement ideas and participating in training and other activities to keep up to date on processes information etc.

All team members are responsible for supporting and complying with internal and external audits to include providing information performing assigned tasks to ensure compliance and preparing and maintaining evidence that key duties identified as internal controls have been performed.

All team members are responsible for supporting and complying with safety and security policies to promote a healthy working environment.

Vericast offers a generous total rewards benefits package that includes medical dental and vision coverage 401K matching and flexible PTO. A wide variety of additional benefits like life insurance employee assistance and pet insurance are also available not to mention smart and friendly coworkers! 

At Vericast we dont just accept differences - we celebrate them we support them and we thrive on them for the benefit of our employees our clients and our  an Equal Opportunity employer Vericast considers applicants for all positions without regard to race color creed religion national origin or ancestry sex sexual orientation gender identity age disability genetic information veteran status or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at  To review your rights under Equal Employment Opportunity please visit:  Work :

Yes

Employment Type :

Full-time