

Mindlance
Technical Lead - Agentic AI
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Lead - Agentic AI, with a 6-month contract based in Washington, DC. Required skills include 10+ years in software engineering, 5+ years in cloud architecture, and expertise in AI/ML solutions. A Master’s degree and Microsoft Azure certifications are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
July 31, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#NLP (Natural Language Processing) #JavaScript #Computer Science #REST (Representational State Transfer) #Data Science #Microsoft Azure #Azure #Classification #Infrastructure as Code (IaC) #Monitoring #DevOps #Containers #.Net #Agile #C# #Sentiment Analysis #SQL (Structured Query Language) #Python #TypeScript #Storage #Cloud #Automation #Microservices #REST API #AI (Artificial Intelligence) #Scrum #ML (Machine Learning)
Role description
Position Summary:
Title: Developer Standard III
Duration: 6 Months - Long Term
Location: Washington, DC 20433
Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon
Required Qualifications:
• Master’s degree in computer science, Information Technology, Data Science, Artificial Intelligence, Engineering, or related discipline.
• Minimum 10 years of professional experience in software engineering and enterprise solution delivery .
• Minimum 5 years of experience in cloud architecture and modern application development.
• Demonstrated experience delivering AI/ML and Generative AI solutions in large enterprises.
• Proven experience leading cross-functional engineering teams. Experience delivering solutions using Agile and Scrum methodologies.
Technical Expertise
Artificial Intelligence:
• Large Language Models (GPT, Claude, Gemini, Azure OpenAI, or equivalent).
• Agentic AI architectures.
• Multi-agent systems.
• Prompt Engineering and Context Engineering.
• Retrieval-Augmented Generation (RAG).
• Semantic Kernel, LangGraph, AutoGen, CrewAI, MCP, or equivalent frameworks.
• NLP, sentiment analysis, classification, summarization, and knowledge management.
Cloud & Platforms:
• Microsoft Azure (preferred).
• AI Foundry, Azure OpenAI.
• AKS, Containers, Serverless Functions.
• Azure Storage, Cosmos DB, SQL Database.
• DevOps, CI/CD pipelines, Infrastructure as Code.
Software Development
• .NET/C#, Python, JavaScript/TypeScript.
• REST APIs and microservices.
• Enterprise integration patterns.
• Full SDLC experience.
Preferred Qualifications:
• Experience designing Agentic AI solutions for Incident Management, Service Management, Grievance Management, Environmental & Social systems, or enterprise workflow automation.
• Experience with Responsible AI, AI Governance, and model monitoring.
• Microsoft Azure AI certifications and Scrum certifications.
• Experience designing AI-enabled digital platforms for large international organizations, development institutions, or regulated industries.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Position Summary:
Title: Developer Standard III
Duration: 6 Months - Long Term
Location: Washington, DC 20433
Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon
Required Qualifications:
• Master’s degree in computer science, Information Technology, Data Science, Artificial Intelligence, Engineering, or related discipline.
• Minimum 10 years of professional experience in software engineering and enterprise solution delivery .
• Minimum 5 years of experience in cloud architecture and modern application development.
• Demonstrated experience delivering AI/ML and Generative AI solutions in large enterprises.
• Proven experience leading cross-functional engineering teams. Experience delivering solutions using Agile and Scrum methodologies.
Technical Expertise
Artificial Intelligence:
• Large Language Models (GPT, Claude, Gemini, Azure OpenAI, or equivalent).
• Agentic AI architectures.
• Multi-agent systems.
• Prompt Engineering and Context Engineering.
• Retrieval-Augmented Generation (RAG).
• Semantic Kernel, LangGraph, AutoGen, CrewAI, MCP, or equivalent frameworks.
• NLP, sentiment analysis, classification, summarization, and knowledge management.
Cloud & Platforms:
• Microsoft Azure (preferred).
• AI Foundry, Azure OpenAI.
• AKS, Containers, Serverless Functions.
• Azure Storage, Cosmos DB, SQL Database.
• DevOps, CI/CD pipelines, Infrastructure as Code.
Software Development
• .NET/C#, Python, JavaScript/TypeScript.
• REST APIs and microservices.
• Enterprise integration patterns.
• Full SDLC experience.
Preferred Qualifications:
• Experience designing Agentic AI solutions for Incident Management, Service Management, Grievance Management, Environmental & Social systems, or enterprise workflow automation.
• Experience with Responsible AI, AI Governance, and model monitoring.
• Microsoft Azure AI certifications and Scrum certifications.
• Experience designing AI-enabled digital platforms for large international organizations, development institutions, or regulated industries.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”





