Job description

Title: Senior AI Automation Engineer – SDLC & GenAI Platforms Location: Boston, MA Employment Type: Contract Compensation: Pay Range:$90.65-$129.50 Per HR Description Lead AI-driven automation in software delivery lifecycle. Define and implement AI strategies across development phases. Ensure secure and governed AI adoption with cross-functional teams. Integrate automation into existing enterprise platforms. Establish reusable AI components and frameworks. Measure productivity and efficiency improvements from AI initiatives. Support executive insights into AI-driven outcomes. Key Responsibilities Define and execute AI-augmented strategies across SDLC phases. Partner with teams to ensure secure AI adoption and governance. Design and deploy AI workflows for automation in various stages. Integrate AI automation into enterprise platforms and tools. Identify and measure improvements in productivity and quality. Qualifications Experience with integrating AI into SDLC processes. Familiarity with governance models in regulated industries. Experience in financial services or similar sectors. Proven thought leadership in AI platforms and automation. Understanding of enterprise risk management and auditability. Core Technologies Large Language Models | Cloud Platforms | CI/CD Pipelines | SDLC Tools Contact Authorization By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here mitchellmartin.com. Onboarding Expectations Learn more about our Onboarding Process here youtu.be EEO Statement Learn more about our EEO policy here mitchellmartin.com #LI-DP1

Requirements

Must-haves

Title: Senior AI Automation Engineer – SDLC & GenAI Platforms
Location: Boston, MA
Employment Type: Contract
Define and execute AI-augmented strategies across SDLC phases.
Partner with teams to ensure secure AI adoption and governance.
Design and deploy AI workflows for automation in various stages.
Integrate AI automation into enterprise platforms and tools.
Identify and measure improvements in productivity and quality.
Experience with integrating AI into SDLC processes.
Familiarity with governance models in regulated industries.
Experience in financial services or similar sectors.
Proven thought leadership in AI platforms and automation.
Understanding of enterprise risk management and auditability.
Core Technologies
Large Language Models | Cloud Platforms | CI/CD Pipelines | SDLC Tools
Contact Authorization
Onboarding Expectations

Nice-to-haves

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Application prep

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