Job description

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%) Education • Bachelor's Degree in a technical or numerical field (Required). Master's 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, Node.js, 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 Salary range: $120,000 - $140,000 Annually Applications will be accepted through November 13, 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 company's 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 don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As 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 talentacquisition@vericast.com To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

Requirements

Must-haves

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%)
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, Node.js, CI/CD, and DevOps automation is required
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
AWS Certified Machine Learning Engineer - Associate (MLA-C01) or AWS Certified AI Practitioner
Microsoft Certified: Azure AI Engineer Associate (AI-102)

Nice-to-haves

Bachelor's Degree in a technical or numerical field (Required). Master's degree preferred.
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
Industry Certifications (Preferred)

Application prep

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Keywords to mirror

aillmci/cdmlkubernetesawsazurenode.jssqlmachine learning

Platform: smartrecruiters
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto