Senior AI Engineer[remote] W2 ROLE

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Need - Senior AI Engineer

Contract Length - 1 year contract

Visas - 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 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 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 .
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.

Need - Senior AI Engineer Contract Length - 1 year contract Visas - 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 l...