Gen AI Solution Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Gen AI Solution Engineer In the assigned Job Role of Data Science Consultant 3, your Area Of Responsibility will be as below: • Review data preparation tasks, and plans to address patterns or anomalies, while ensuring data readiness for advanced modeling and AI. • Review models for complex use cases (e.g., forecasting models, LLM-based solutions), and refine algorithms to meet business needs. • Review plan for smooth deployment into scalable, production-ready solutions. • Review test plans and test results for analytics use cases, while defining optimization standards for model accuracy and stability, in alignment with business goals. • Build models and analytics solutions tailored to business needs. • Ensure quality and scalability across client engagements while actively contributing to knowledge assets and innovation streams. • Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions. • Review and refine analytics problems; identify data sources and extract from diverse environments. • Oversee analysis execution and drive business insights. • Create monitoring strategies across multiple projects, embedding governance frameworks to ensure robustness, reliability, and risk awareness. • Review monitoring frameworks, refine documentation/reporting templates, and present insights on anomalies or slippages to stakeholders. • Refine documentation strategy across teams, ensuring transparency and reproducibility of complex analytics solutions. • Collaborate with cross-functional teams, ensuring alignment between analytics delivery and business strategy. • Review analytics outputs for adherence to quality frameworks and project commitments. • Recommend improvements to

Read the full description at sjobs.brassring.com. FewerJobs shows a preview and links to the original posting.