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Synergent Tech Solutions

via Dice

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Senior Data/AI Engineer ($55/hr )Lead AI and Data Solutions Engineer ($60/hr)

Anywhere
Full-time
Posted 12/23/2025
Verified Source
Key Skills:
AI/ML frameworks
Large language models (LLMs)
AWS services (S3, Lambda, SageMaker)
Data pipelines
Model Context Protocol (MCP)

Compensation

Salary Range

$114K - 125K a year

Responsibilities

Lead AI and data solutions development, integrating large language models and cloud-native architectures.

Requirements

8+ years in data engineering or AI, expertise with LLMs, AWS Bedrock, Snowflake, and agentic AI systems, with strong communication skills.

Full Description

Senior Data/AI Engineer ($55/hr ) Lead AI and Data Solutions Engineer ($60/hr) Location : Irvine, CA ( Remote) Duration: 6+ months contract to hire and oron sponsorship Online test is need , WE need Lead working experience. Lead AI and Data Solutions Engineer Remote 6 months Contract to Hire Those authorized to work in the U.S. without sponsorship will be considered. We are not able to sponsor at this time. Education • Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. • Minimum Experience • 8+ years of experience in data engineering, AI solution development, or related roles. • Proven expertise in large language models (LLMs), agentic AI systems, and Model Context Protocol (MCP). • Good working experience developing and integrating AI solutions using AWS Bedrock, including prompt engineering, RAG, and enterprise application integration. • Strong experience with Snowflake and AWS services (Glue, S3, Lambda, SageMaker, etc.). • Experience in the financial services or mortgage industry is preferred. • Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. Our Client does not offer H-1B sponsorship for this position. Specialized Knowledge & Skills • Deep understanding of AI/ML frameworks, data pipelines, and cloud-native architectures. • Hands-on experience with LLM deployment, fine-tuning, and integration. • Proficiency in agentic AI design patterns and implementation. • Expertise in Model Context Protocol (MCP) for context-aware model deployment and management. • Strong knowledge of Snowflake, AWS, and advanced data modeling. • Experience with data governance, security, and compliance best practices. • Excellent communication, collaboration, and presentation skills. • Ability to translate complex technical concepts for non-technical stakeholders.

This job posting was last updated on 12/25/2025

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