Description

 
AI-Enabled SDLC Transformation

Define and execute a GenAI-augmented SDLC strategy, embedding AI across requirements, design, development, testing, deployment, and auditability.

Drive spec-to-code, code-to-test, and test-to-deployment automation using LLM-powered workflows aligned to enterprise SDLC standards 1.

Partner with Architecture, DevSecOps, Risk, and Compliance teams to ensure secure, governed, and auditable AI adoption.

Anthropic Cloud Code & Agentic Automation

Serve as the subject matter expert for Anthropic Cloud Code capabilities, including:

Prompt engineering standards

Agent-based orchestration patterns

Secure model invocation and policy enforcement


Design and deploy agentic AI workflows to automate:

Requirements for elaboration and decomposition

Jira story and acceptance criteria generation

Unit, integration, and UAT test generation

SDLC artifact and control evidence creation

Enterprise Platform Enablement

Integrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms).

Establish reusable AI components, frameworks, and guardrails for product and engineering teams.

Enable adoption through reference architectures, implementation patterns, and developer enablement.

Value Realization & Measurement

Identify and quantify productivity, quality, and cycle-time improvements driven by AI.

Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction.

Support executive visibility into AI-driven outcomes and maturity progress.


Preferred Qualifications

Experience integrating GenAI into requirements management, testing automation, and SDLC controls.

Familiarity with enterprise GenAI governance models, including model risk management and auditability.

Experience working in financial services or highly regulated industries.

Thought leadership in AI platforms, automation, or engineering productivity initiatives.


What Success Looks Like

AI-driven automation measurably reduces SDLC cycle time and manual effort.

Development teams consistently leverage AI-generated requirements, code, and tests within governed workflows.

Anthropic Cloud Code capabilities are adopted as a standard, reusable enterprise platform capability.

Ameriprise achieves a demonstrable increase in SDLC maturity, quality, and compliance efficiency through GenAI

Key Skills

Education

Bachelor's degree