AINative Transformation Specialist

About US

We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.

DS Technologies Inc is looking for an AI‑Native Transformation Specialist role for one of our premier clients.

Job Title:

AI‑Native Transformation Specialist

Location:

Remote (US‑Based)
Position Type:
Full‑Time

We are seeking a visionary AI‑Native Transformation Specialist to join our high‑growth team. In this pivotal role, you will bridge the gap between cutting‑edge AI technologies and enterprise‑scale software delivery. You will work directly with our strategic customers—and our own internal delivery teams—to fundamentally transform how software is built, tested, and deployed.

This is not just an advisory role; it is a hands‑on transformation position. You will help organizations move from traditional SDLCs to AI‑augmented engineering ecosystems. You will architect the adoption of tools like Git Hub Copilot and Cursor, design agentic workflows, and lead the cultural shift required to “Build with Purpose” in an AI‑first world. If you are passionate about helping enterprises achieve higher quality with fewer resources through intelligent automation, this is your opportunity to lead.

• Strategic Advisory:
  Conduct maturity assessments of customer software delivery life cycles (SDLC) and design roadmaps for transitioning to AI‑native engineering practices.
• Tooling Implementation:
  Lead the technical rollout and configuration of AI coding assistants (Git Hub Copilot, Cursor, Windsurf) and LLM‑based productivity tools within complex enterprise environments.
• Process Re‑engineering:
  Redesign core engineering processes—including code review, QA, and documentation—to leverage AI agents and automated workflows, reducing cycle time by 30‑50%.
• Cultural Enablement:
  Design and deliver workshops, training sessions, and playbooks to upskill engineering teams, fostering a culture of “learning relentlessly” and safe AI adoption.
• Internal Transformation:
  Act as an internal change agent for Nous Infosystems, embedding AI‑native practices into our own delivery centers to ensure we remain at the cutting edge of digital engineering.
• Impact Measurement:
  Define and track KPIs related to developer productivity, code quality, and time‑to‑market to demonstrate tangible ROI from AI investments.
• Innovation Leadership:
  Stay ahead of the curve on emerging AI agents, autonomous coding frameworks, and cloud AI platforms (AWS Bedrock, Azure OpenAI) to continuously evolve our service offerings.

• Experience:
  
  8‑12+ years of experience in Agile, software engineering, Dev Ops, or technical consulting, with at least 1 year focused on AI/ML or developer productivity tooling.
• AI‑Native Mastery:
  Deep, hands‑on expertise with AI coding assistants (Git Hub Copilot, Cursor) and experience integrating LLMs into development workflows.
• SDLC & Dev Ops:
  Strong background in modern CI/CD pipelines, automated testing frameworks, and Agile methodologies. You understand how software is built at scale.
• Cloud Fluency: proficiency with major cloud platforms (AWS, Azure, or GCP) and their respective AI/ML ecosystems.
• Transformation
  
  Skills:
  
  Proven track record of leading technical change management initiatives or digital transformation projects for large enterprises.
• Communication: exceptional ability to communicate complex technical concepts to both C‑level executives and engineering teams.

• Experience building or deploying custom AI agents using frameworks like Claud Code, Lang Chain, Github Co‑pilot, or similar.
• Experience in Spec Driven Development and latest techniques for AI‑Native Development
• Background in Engineering transformation, across people, process and technology.
• Previous experience in a consulting or professional services environment.
• Publications or speaking engagements related to AI in software engineering.

This is a remote position.