Software Engineer V (AI Transformation Engineer)

sgs-job-4536

Engineering
Remote
AI Tooling
AI/ML Development
AI Assisted Development
Artificial Intelligence.

Contract - 07 Months

Client is seeking an AI Solutions Developer to design, build, and deploy AI-powered tools, dashboards, skills, agents, and automated workflows that drive operational efficiency across our hardware compliance, packaging engineering, and TPM organizations. This is a hands-on, technically demanding role for someone who lives at the intersection of AI/ML development and product operations — building real solutions that automate workflows, surface insights, and eliminate manual processes for cross-functional teams spanning Packaging, Sustainability, Safety, Certification, Compliance, Biocompatibility, Materials Regulatory Compliance, and Technical Program Management. You will work embedded within the team, partnering with Technical Program Managers, product program leads, engineers, and compliance leads to identify high-impact automation opportunities, architect solutions using Client's internal AI infrastructure and deliver production-ready tools. The initial project is a Compliance Readiness Dashboard — an interactive, data-driven tool that provides visibility into certification timelines, decision deadlines, and prerequisites across 25+ countries and 7 compliance disciplines. Beyond this, you will develop AI-enabled solutions informed by all functional teams in the organization. This role is ideal for someone who is deeply fluent in AI-native development — not just prompting models, but building agentic workflows, data pipelines, and interactive applications powered by LLMs and automation frameworks. Years of overall experience required: • 5+ Years. Types of Interviews: Round 1: Two separate 30-minute interviews with hiring team members. Final Round: 30-minute interview with hiring manager. Interview Duration: 30 min.

Job Responsibilities:

  • Design and build an interactive multi-page dashboard showing country expansion timelines, discipline-specific lead times, prerequisites, and decision deadlines across 25+ countries.
  • Partner with program and compliance leads to understand use cases, problem statements, and priorities (i.e., P0-P3s).
  • Integrate with Client's internal tools for data storage, visualization, and workflow automation.
  • Design a scalable data model supporting multiple hardware programs and 7 compliance disciplines (Safety, Artwork/Legal/Creative, Packaging Design, Logistics, MRC, Product Certification, Wireless Certification). Create data input mechanisms for teams to update status and timelines.
  • Create data input mechanisms for teams to update status and timelines.
  • Identify, scope, and build AI-powered tools and automations to serve all functions under the Packaging Engineering, RL Sustainability &; Compliance organization — including Packaging, Sustainability, TPM, Safety, Certification, Compliance, Biocompatibility, and Materials Regulatory Compliance
  • Develop agentic AI workflows using Client's internal AI platforms to automate repetitive processes and reduce manual effort
  • Build internal dashboards, reporting tools, and alerting systems that improve visibility and accelerate decision-making
  • Partner with cross-functional stakeholders to translate operational pain points into technical solutions
  • Document solutions, create training materials, and enable handoff to permanent team members for long-term sustainability.

Skills:

  • AI builder with true engineering capabilities—experience building agentic workflows and AI architecture, not just prompt engineering (prompt engineering is table stakes)
  • Operational focus and awareness—understanding of how TPM teams manage process flows and ability to build tools that address real operational pain points
  • Ability to be self-directed—can take starting points, project briefs, and one-pagers and run independently with minimal oversight.
  • Some program management skills or AI software TPM skillset to complement technical abilities.
  • Portfolio that shows engineering capabilities.

Education/Experience:

  • 5+ years of experience in software engineering, data engineering, or software technical program management with hands-on coding
  • Demonstrated proficiency building applications using Python, SQL, and modern web frameworks
  • Proven experience working with AI/ML tools in a production environment — not just prototyping, but deploying real solutions that drive measurable outcomes

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