AI Application Architect (Java/.Net/Mainframe/C++)
Krehsst Tech Solutions, Charlotte, NC, United States
Position: AI Application Architect (Java/.Net/Mainframe/C++)
Location: Malvern, PA / Charlotte, NC (Onsite Role, Hybrid)
Job Type: Contract
All candidates should make sure to read the following job description and information carefully before applying.
Job Description:
Please Note:
These will be Enterprise Architects working on AI Delivery
Role Summary:
Vanguard’s Advice and Wealth Management Technology organization is establishing a centralized capability to accelerate the effective adoption of AI-assisted software development. This role will build and lead an AI Enablement & Coaching function that improves engineering productivity, delivery flow, and quality across the SDLC. The role blends AI coaching, delivery management, and SDLC optimization and is not tied to a specific technology stack.
Key Objectives:
Enable engineering teams to adopt AI tools responsibly and effectively
Improve SDLC flow, cycle time, and quality using AI-assisted practices
Establish a repeatable AI coaching and adoption model
Introduce AI agents and accelerators to streamline delivery
Bridge engineering, product, and leadership to drive measurable value
Core Responsibilities – AI Enablement & Coaching-
Act as an AI coach for development teams; guide adoption of AI-assisted coding, testing, documentation, and review; develop best practices, guardrails, and enablement materials; run workshops and hands-on coaching sessions.
Core Responsibilities – SDLC Optimization-
Assess workflows to identify bottlenecks; introduce AI-supported improvements across planning, development, testing, and CI/CD; partner with delivery leaders to improve throughput and predictability; focus on value-driven AI adoption.
Core Responsibilities – Agentic AI champion-
Evaluate and pilot AI agents for testing, documentation, and workflow automation; define where agent-based automation adds value without increasing risk; collaborate with architecture and platform teams.
Delivery & Change Enablement-
Ensure AI adoption aligns with delivery commitments and risk posture; track adoption and value metrics; support organizational and behavioural change.
Required Qualifications-
Strong SDLC experience; exposure to AI-assisted development; experience coaching engineering teams; understanding of Agile delivery models; ability to work across multiple tech stacks. xywuqvp
Preferred Qualifications-
Experience in financial services or regulated environments; background in engineering enablement or developer productivity; experience defining flow and productivity metrics. 10+ year's experience and good communication and ability to work with multiple stakeholders
Location: Malvern, PA / Charlotte, NC (Onsite Role, Hybrid)
Job Type: Contract
All candidates should make sure to read the following job description and information carefully before applying.
Job Description:
Please Note:
These will be Enterprise Architects working on AI Delivery
Role Summary:
Vanguard’s Advice and Wealth Management Technology organization is establishing a centralized capability to accelerate the effective adoption of AI-assisted software development. This role will build and lead an AI Enablement & Coaching function that improves engineering productivity, delivery flow, and quality across the SDLC. The role blends AI coaching, delivery management, and SDLC optimization and is not tied to a specific technology stack.
Key Objectives:
Enable engineering teams to adopt AI tools responsibly and effectively
Improve SDLC flow, cycle time, and quality using AI-assisted practices
Establish a repeatable AI coaching and adoption model
Introduce AI agents and accelerators to streamline delivery
Bridge engineering, product, and leadership to drive measurable value
Core Responsibilities – AI Enablement & Coaching-
Act as an AI coach for development teams; guide adoption of AI-assisted coding, testing, documentation, and review; develop best practices, guardrails, and enablement materials; run workshops and hands-on coaching sessions.
Core Responsibilities – SDLC Optimization-
Assess workflows to identify bottlenecks; introduce AI-supported improvements across planning, development, testing, and CI/CD; partner with delivery leaders to improve throughput and predictability; focus on value-driven AI adoption.
Core Responsibilities – Agentic AI champion-
Evaluate and pilot AI agents for testing, documentation, and workflow automation; define where agent-based automation adds value without increasing risk; collaborate with architecture and platform teams.
Delivery & Change Enablement-
Ensure AI adoption aligns with delivery commitments and risk posture; track adoption and value metrics; support organizational and behavioural change.
Required Qualifications-
Strong SDLC experience; exposure to AI-assisted development; experience coaching engineering teams; understanding of Agile delivery models; ability to work across multiple tech stacks. xywuqvp
Preferred Qualifications-
Experience in financial services or regulated environments; background in engineering enablement or developer productivity; experience defining flow and productivity metrics. 10+ year's experience and good communication and ability to work with multiple stakeholders