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Assistant Ai Developer Jobs in Tennessee (NOW HIRING)

AllianceBernstein

Senior AI Solutions Engineer

Nashville, TN · On-site

$53.25 - $68.75/hr

... Engineer to build and deliver AI-powered tools that integrate with enterprise data and APIs. The ... copilots, assistants, and AI workflows that query, interpret, and act on structured and ...

Ztek Consulting INC

AI/ML Engineer

Franklin, TN · On-site

AI/ML Engineer Duration:12 months Location: Onsite at Franklin, TN Work Type: Contract - W2 Rate ... If you are an individual with a disability and need a reasonable accommodation to assist with your ...

NxT Level

Vice President of AI

Nashville, TN · On-site

Develop intelligent assistants, workflow automations, and internal data agents to streamline ... Strong grasp of prompt engineering, LLM integration, AI governance, and data infrastructure

NxT Level

Vice President of AI

Nashville, TN · On-site +1

Develop intelligent assistants, workflow automations, and internal data agents to streamline ... Strong grasp of prompt engineering, LLM integration, AI governance, and data infrastructure

Revecore

Senior Cloud DevOps Engineer

Franklin, TN · Remote

$125K - $161K/yr

Exposure to AI coding assistants and the ability to leverage AI as a productivity enhancement in day-to-day engineering work is a strong plus. Work at Home Requirements: A quiet, distraction-free ...

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Senior AI Solutions Engineer

AllianceBernstein

Nashville, TN • On-site

$53.25 - $68.75/hr

Full-time

Re-posted 22 days ago

Job description

Job Summary:
AllianceBernstein is a leading global investment management firm seeking a Senior AI Solutions Engineer to build and deliver AI-powered tools that integrate with enterprise data and APIs. The role involves hands-on development of AI applications, working closely with business users to translate requirements into technical solutions, and ensuring compliance with governance and security standards.
Responsibilities:
• Design and implement AI-powered applications that integrate with enterprise data platforms, APIs, and services.
• Build copilots, assistants, and AI workflows that query, interpret, and act on structured and unstructured data.
• Integrate AI tools with internal systems, vendor APIs, and curated data layers.
• Implement solutions using large language models (LLMs) and modern GenAI frameworks.
• Build Retrieval-Augmented Generation (RAG) patterns using enterprise data sources.
• Design prompt strategies, orchestration logic, and guardrails for reliable AI behavior.
• Develop agent-style workflows that combine reasoning, tool usage, and data access.
• Partner directly with business users to understand problems, workflows, and opportunities for AI enablement.
• Translate business requirements into technical AI solution designs.
• Rapidly prototype, iterate, and productionize AI tools based on user feedback.
• Design and consume REST-based APIs to connect AI tools with data, services, and downstream systems.
• Build middleware or service layers that enable secure, scalable AI access to enterprise data.
• Ensure AI tools are modular, reusable, and extensible.
• Ensure AI solutions comply with enterprise security, privacy, and data governance standards.
• Implement controls around data access, prompt safety, and output validation.
• Partner with architecture and risk teams to operationalize AI responsibly.
• Continuously evaluate and apply the latest AI tools, frameworks, and platform capabilities.
• Bring forward best practices and emerging patterns in GenAI, copilots, and AI-driven applications.
• Help shape enterprise standards for AI solution development.
Qualifications:
Required:
• Hands‑on experience building AI applications using LLMs (OpenAI, Azure OpenAI, or equivalent).
• Experience implementing RAG architectures and AI workflows using enterprise data.
• Strong understanding of prompt engineering, orchestration, and AI behavior tuning.
• Strong experience designing and consuming REST APIs.
• Ability to integrate AI tools with data platforms, internal services, and third‑party systems.
• Experience building lightweight service layers or backend components for AI applications.
• Proficiency in Python and/or TypeScript/JavaScript for AI application development.
• Familiarity with modern AI frameworks and SDKs (e.g., LangChain, Semantic Kernel, similar).
• Experience deploying AI solutions in cloud environments (Azure preferred).
• Strong understanding of structured and unstructured data concepts.
• Ability to work with curated datasets, semantic layers, and metadata‑driven access patterns.
• Comfort integrating AI solutions with analytics and reporting data.
• Proven ability to work directly with business users and translate needs into working solutions.
• Strong communication skills across technical and non‑technical audiences.
• Product‑oriented mindset focused on usability and adoption.
Preferred:
• Experience with Microsoft Copilot, Power Platform, or enterprise AI assistants.
• Familiarity with Snowflake, Databricks, or enterprise data warehouses (integration focus).
• Exposure to investment, financial, or analytical domains.
Company:
AllianceBernstein is a publicly traded global asset management firm, with approximately $735 billion in assets under management at March Founded in 1967, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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