

Adroit Innovative Solutions Inc
AI Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Specialist with 15+ years of experience, focusing on AI-assisted engineering and delivery improvement. It offers a hybrid work location in Malvern, with a hands-on approach to coaching teams on AI tools and practices.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Malvern, PA
-
🧠 - Skills detailed
#Documentation #AI (Artificial Intelligence) #Agile
Role description
Title: AI Specialist / Delivery Practice Coach
Client: Vanguard
Location: Malvern (Hybrid)
•
• Experience Required 15+ Years of Experience is Mandatory
•
• Interview Process
• Direct client submission
• No coding test
Role Overview
This is a highly technical AI Engineering-focused role.
The person will help engineering teams improve software delivery using AI tools and modern engineering practices. The role is hands-on and practical — not just process coaching.
The focus areas are:
• AI-assisted engineering
• Delivery improvement
• Flow/process optimization
Time Split
• 50% – AI Enablement & AI-Assisted Engineering
• 25% – Delivery Practices & Operational Discipline
• 25% – Flow Optimization & Throughput Improvement
Key Responsibilities
1. AI Enablement (50%)
• Help teams use AI in software development workflows
• Guide engineers and managers on practical AI usage
• Improve coding, testing, documentation, and review processes using AI
• Create AI best practices and guardrails
• Reduce risks around AI misuse and quality issues
• Help teams adapt to AI-driven software development changes
Expected Skills
• Strong AI engineering background
• Hands-on experience with AI tools in development workflows
• Ability to coach technical teams
1. Delivery Practices (25%)
• Improve software delivery quality and reliability
• Identify delivery risks and operational issues
• Coach teams on modern engineering best practices
• Use metrics and data to improve team performance
• Work with engineering/product leaders to solve recurring issues
1. Flow Optimization (25%)
• Remove bottlenecks slowing development
• Improve delivery speed and predictability
• Reduce unnecessary work and process friction
• Optimize workflows and team capacity
• Run experiments to improve throughput and stability
Who They Want
Candidates who can:
• Deliver AI engineering solutions
• Work closely with engineering teams
• Drive practical improvements
• Use AI tools hands-on
• Improve delivery without adding heavy processes
Strong Candidate Profile
• AI Engineering experience
• Software engineering background
• Agile/delivery improvement experience
• Strong communication and coaching skills
• Experience with workflow optimization and metrics
• Hands-on technical mindset
Success in This Role
• Teams successfully adopt AI-assisted development
• Software delivery becomes faster and more predictable
• Quality improves without adding bureaucracy
• Teams continue improvements independently after coaching ends
Title: AI Specialist / Delivery Practice Coach
Client: Vanguard
Location: Malvern (Hybrid)
•
• Experience Required 15+ Years of Experience is Mandatory
•
• Interview Process
• Direct client submission
• No coding test
Role Overview
This is a highly technical AI Engineering-focused role.
The person will help engineering teams improve software delivery using AI tools and modern engineering practices. The role is hands-on and practical — not just process coaching.
The focus areas are:
• AI-assisted engineering
• Delivery improvement
• Flow/process optimization
Time Split
• 50% – AI Enablement & AI-Assisted Engineering
• 25% – Delivery Practices & Operational Discipline
• 25% – Flow Optimization & Throughput Improvement
Key Responsibilities
1. AI Enablement (50%)
• Help teams use AI in software development workflows
• Guide engineers and managers on practical AI usage
• Improve coding, testing, documentation, and review processes using AI
• Create AI best practices and guardrails
• Reduce risks around AI misuse and quality issues
• Help teams adapt to AI-driven software development changes
Expected Skills
• Strong AI engineering background
• Hands-on experience with AI tools in development workflows
• Ability to coach technical teams
1. Delivery Practices (25%)
• Improve software delivery quality and reliability
• Identify delivery risks and operational issues
• Coach teams on modern engineering best practices
• Use metrics and data to improve team performance
• Work with engineering/product leaders to solve recurring issues
1. Flow Optimization (25%)
• Remove bottlenecks slowing development
• Improve delivery speed and predictability
• Reduce unnecessary work and process friction
• Optimize workflows and team capacity
• Run experiments to improve throughput and stability
Who They Want
Candidates who can:
• Deliver AI engineering solutions
• Work closely with engineering teams
• Drive practical improvements
• Use AI tools hands-on
• Improve delivery without adding heavy processes
Strong Candidate Profile
• AI Engineering experience
• Software engineering background
• Agile/delivery improvement experience
• Strong communication and coaching skills
• Experience with workflow optimization and metrics
• Hands-on technical mindset
Success in This Role
• Teams successfully adopt AI-assisted development
• Software delivery becomes faster and more predictable
• Quality improves without adding bureaucracy
• Teams continue improvements independently after coaching ends






