Senior AI Engineer[remote]- W2 ROLE

Need - Senior AI Engineer Contract Length - 1 year contract Visa's - GC or USC Location - Remote Full Job Description Job Description: AWS Data Lake Migration Project Summary Objective Migrate all HomeServe systems and databases into an AWS data lake, beginning with a raw "bronze layer" lift-and-shift from core systems. Scope & Phasing • Ultimate goal: Move data from 100+ source systems to AWS. • Initial focus: Narrowed to the top 5 priority systems (e.g., CRM, ERP, others). • Approach: • First step = raw ingestion (bronze layer). • Transformations and refinements to follow later. • Timeline: • High-priority deliverables by end of June. • Overall initiative expected to run at least 1 year. Current Challenges • Data Access & Scale • Difficulty gaining access to source systems. • Large, complex datasets. • Systems spread across: • Cloud platforms • HomeServe data centers • Third-party-managed environments • Tooling & Architecture • Case-by-case migration strategy. • Potential use of AWS Glue and other ETL tools. • No single standardized method yet. • Organizational Complexity • Automation team (25 people) originally attempted to use AI/agentic AI to accelerate migration-did not succeed. • Initiative now transitioning to the Data team. • Data team currently focused on reporting and analytics. • Only 3 4 AI engineers; unclear if leadership and skillsets are sufficient for the scale of effort. • Leadership concerns and need for stronger technical direction. • Stakeholder Impact • Many business groups impacted. • Critical to project confidence and execution credibility across the organization. • "Must deliver" environment-technology execution is the top priority. Key Risks • Lack of strong technical leadership. • Access bottlenecks to source systems. • Inconsistent tooling approach. • Skill gap in AI/data engineering leadership. • Compressed near-term deadlines. Core Need • Strong technical leadership to own execution. • Clear architecture and migration framework. • Prioritized roadmap for top systems. • Improved governance and stakeholder communication. Shift from experimental AI-led automation to structured data engineering pract Formal JD A HomeServe USA AI/ML Engineer identifies, develops, and scales generative AI technologies to transform business operations. The role focuses on piloting proof-of-concept (POC) solutions, collaborating with product teams, and deploying production-ready AI applications using Python, Node.js, or Java to enhance service efficiency and customer experience. Key Responsibilities • Generative AI Development: Lead pilot projects, create prototypes, and deploy AI solutions from concept to production. • Prompt Engineering & Optimization: Refine prompts for Generative AI, using analytics to optimize performance. • System Integration: Utilize Cloud Services (APIs, Cloud Functions) and write high-quality code in Python, Node.js, or Java. • Business Collaboration: Work with Marketing, Sales, and Product teams to identify use cases for automation, personalization, and efficiency. • Technical Strategy: Monitor the impact of AI capabilities on business metrics and stay updated on AI advancements. Required Skills and Qualifications • Experience: Generally requires 3+ years of experience in AI/ML development, particularly with Generative AI technologies. • Technical Proficiency: Strong programming skills in Python, Java, or Node.js. • AI/ML Knowledge: Expertise in machine learning, NLP, or deep learning, and familiarity with AI frameworks. • Cloud Platforms: Experience with AWS, Azure, or GCP. • Communication: Ability to collaborate with cross-functional teams to translate business needs into technical requirements. Apply tot his job Apply To this Job