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Jobs · Engineering · Massachusetts

Sr AI Automation Engineer - SDLC & GenAI Platforms

Ameriprise Financial Services, LLC · Boston, MA · 1 wk ago
On-siteEngineering$128k–$168k/yrFull-time

Aim of the Role

This role is responsible for defining, building, and scaling AI-driven automation across the software delivery lifecycle—leveraging Anthropic Cloud Code–based capabilities, agentic workflows, and enterprise-grade GenAI platforms.

Responsibilities

  • 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.
  • Partner with Architecture, DevSecOps, Risk, and Compliance teams to ensure secure, governed, and auditable AI adoption.
  • 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 elaborate and decompose Jira story and acceptance criteria generation, unit, integration, and UAT test generation, SDLC artifact and control evidence creation.
  • 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.
  • 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.

Qualifications

  • Broad 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.

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.

Pay

The estimated base salary for this role is $128,000 - $168,000/year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurance.

Employment Type

Full Time, Exempt

Job Family

Technology

Line of Business

Tech

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