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Ai Solution Manager Jobs (NOW HIRING)

AI Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

AI Solution Architect Location: Chicago, IL, USA_ Onsite _ Need Local Only In-Person Customer ... Agent Orchestration Define multi-agent collaboration patterns, memory management, and autonomous ...

AI Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

... management, and autonomous planning frameworks. 3. Governance & Security Implement data privacy ... AI solutions. • Develop and optimize RAG-based architectures and autonomous agent systems. • ...

As a AI Solution Engineer, you will work at the front line of that growth: engaging customers ... technical account management. Preferred Qualifications * Hands‑on experience building ...

New

As a AI Solution Engineer, you will work at the front line of that growth: engaging customers ... account management. Preferred Qualifications * Hands-on experience building, configuring or ...

NY · On-site

$58.25 - $76.50/hr

Support product management and innovation teams in identifying AI use cases that deliver real ... AI solutions into production. * Monitor and improve AI systems using performance metrics, A/B ...

As a AI Solution Engineer, you will work at the front line of that growth: engaging customers ... account management. Preferred Qualifications * Hands-on experience building, configuring or ...

AI Solution Architect

Davie, FL · On-site

$57.75 - $76/hr

Design AI security controls, guardrails, identity management, and responsible AI frameworks * Partner with engineering, data, security, and business teams to deliver enterprise AI solutions * Present ...

AI Solution Architect * Role Overview * Virtusa AI Labs is seeking an AI Solution Lead who can ... Apply MLOps, LLMOps, and FMOps principles to automate workflows, manage versions, and ensure robust ...

AI Solution Lead Role Overview Virtusa AI Labs is seeking AI Solution Development Engineers who ... Apply MLOps, LLMOps, and FMOps principles to automate workflows, manage versions, and ensure robust ...

AI Solution Architect

Atlanta, GA · On-site

$99K - $225K/yr

AI Solution Architect The Opportunity: Design and implement effective AI solution architecture or ... Knowledge of AI governance and risk frameworks, including the NIST AI Risk Management Framework

Process Improvement & Change Management: Go beyond tooling -- redesign the underlying processes that AI solutions will support. Identify upstream and downstream dependencies, document new workflows ...

AI Solution Architect

Denver, CO · On-site

$64.75 - $85.50/hr

AI Solution Architect Location: Denver, CO Duration: 12 months Interview Process ... There will be 3 interview rounds with the Hiring Manager 1. 30 mins. screening round 2. 30 mins to ...

AI Solution Architect

Bellevue, WA · On-site

$71 - $93.75/hr

AI Solution Architect Job Location: Bellevue - Washington Job Type: Contract * Support Partners in ... Excellent stakeholder management and documentation skills * Excellent written and verbal ...

Manage AI and advanced analytics project intake, design, prototyping, and kickoff, ensuring agile ... Collaborate with Data and Analytics Solutions (DAS) leadership to translate the overarching ...

Showing results 21-40

Ai Solution Manager information

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How much do ai solution manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai solution manager in the United States is $94,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $115,000.00 per year, depending on experience, location, and employer.

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AI Solution Architect

Chicago, IL • On-site

Tekfortune Inc.
Recruiting and Staffing Services • 11 - 50 employees

$65 - $85.50/hr

Other

Posted 19 days ago


Job description

Role: AI Solution Architect

Location: Chicago, IL, USA_ Onsite _Need Local Only

In-Person Customer interview is required

Mandatory Skills: Generative AI

Other skills: AWS, Machine Learning, Cloud & Data Engineering

Years Of Experience: 11 to 15 Years

Job Description

Role Summary & Objectives

  • Translate business automation and efficiency goals into scalable, production-grade AI architectures.
  • Lead the design of autonomous multi-agent systems, complex reasoning loops, and tool-use workflows.
  • Establish robust guardrails, human-in-the-loop decision controls, and system observability.

Key Responsibilities

  1. Architecture Design

Build enterprise Generative and Agentic AI platforms featuring high-performance RAG (Retrieval-Augmented Generation) pipelines and vector database integrations.

  1. Agent Orchestration

Define multi-agent collaboration patterns, memory management, and autonomous planning frameworks.

  1. Governance & Security

Implement data privacy, compliance, risk mitigation, and evaluation guardrails across all AI touchpoints.

  1. Cross-functional Leadership

Guide and mentor engineering teams, run discovery workshops with stakeholders, and define reusable deployment patterns.

Technical Stack & Expertise:

Generative AI & Agentic AI

  • Retrieval-Augmented Generation (RAG) pipelines, semantic caching, and context window optimization.
  • Function calling, tool use, and structured data extraction schemas.
  • Evaluation metrics, tracing, and hallucination reduction guardrails.
  • Designing agentic-first workflows and autonomous decision loops.

Multi-Agent Systems

  • Multi-agent coordination patterns (supervisor-worker, decentralized collaboration, stateful graphs).
  • Frameworks like LangChain, LangGraph, and Bedrock Core Runtime for state and memory management.
  • Emerging interoperability standards like Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.

Data & Vector Technologies

  • Vector databases (e.g., Milvus, Amazon Aurora PostgreSQL) for high-speed similarity search.
  • Data pipelines and embedding generation workflows using Python, FastAPI, or Apache Spark.

Cloud & Infrastructure

  • Cloud-native deployment on AWS services including Amazon Bedrock, Lambda, EKS, SageMaker, S3, RDS, and DocumentDB.
  • Containerization and orchestration using Docker and Kubernetes.
  • CI/CD pipelines for automated testing of non-deterministic AI outputs.

Observability & Responsible AI

  • Observability and logging pipelines for tracking agent token usage, latency, and failure states.
  • Responsible AI frameworks, data privacy compliance, and bias mitigation guardrails.

Roles & Responsibilities

  • Design and implement enterprise-scale Generative AI and Agentic AI solutions.
  • Develop and optimize RAG-based architectures and autonomous agent systems.
  • Drive AI governance, security, compliance, and operational excellence.
  • Collaborate with business and technical stakeholders to deliver scalable AI solutions.
  • Mentor engineering teams and establish reusable architecture and deployment standards.

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About Tekfortune

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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Piscataway, NJ, US

Year founded

2014