Technical AI Solution Engineer

• Posted 2 days ago • Updated 7 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Ideation
Solution Architecture
Systems Architecture
Data Flow
Use Cases
MVP
POC
Workflow
Optimization
Knowledge Sharing
Stacks Blockchain
Microsoft Certified Professional
Orchestration
Prompt Engineering
Evaluation
Training
Adapter
Python
Node.js
LangChain
Semantics
LlamaIndex
PyTorch
TensorFlow
Vector Databases
Redis
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
API
Microservices
DevOps
Continuous Integration
Continuous Delivery
Requirements Elicitation
Presentations
Documentation
Communication
Software Engineering
Generative Artificial Intelligence (AI)
Computer Science
Machine Learning (ML)
Telco
Media
Data Engineering
Extract
Transform
Load
Machine Learning Operations (ML Ops)
SEO
Information Security Governance
Regulatory Compliance
Artificial Intelligence
Innovation

Summary

JOB DESCRIPTION: Technical AI Solution Engineer

Location: Atlanta or Plano

Role Type: Part-time with an option to become a Full-Time Employee later

Seniority: Expert

Duration: 3 - 6 months

About the Role

The Client is seeking a highly skilled Technical AI Solution Engineer to design, architect, develop, and deliver cutting-edge AI and Generative AI (GAI) solutions across our customer needs. This role combines deep technical expertise in modern AI technologies with strong solution engineering capabilities and hands-on implementation skills.

The ideal candidate can translate business challenges into scalable AI-driven solutions, rapidly build PoCs/MVPs, and lead the full solution lifecycle - from ideation to production deployment.

Key Responsibilities

AI Solution Architecture & Design

Lead the end-to-end design of AI and Generative AI solutions, including system architecture, data flows, model selection, and integration patterns.
Partner with customers, product managers, and business teams to identify high-impact AI-driven use cases.
Evaluate AI technologies, frameworks, and vendors to recommend optimal solution approaches.

Hands-On Development & PoC/MVP Creation

Build proofs of concept (PoC), MVPs, and production-grade features using Vibe coding, LLMs, embeddings, retrieval, agents, and advanced AI pipelines.
Implement AI workflows such as MCP, RAG, fine-tuning, prompt engineering, agentic orchestration, and model optimization.
Develop integrations with enterprise systems, APIs, data platforms, and cloud environments (AWS/Azure/Google Cloud Platform).

Technical Expertise & Evangelism

Serve as a subject-matter expert and advisor on modern AI, GenAI, and LLM-based architectures.
Stay up to date with advancements in AI infrastructure, LLM capabilities, vector databases, and agentic automation.
Nice to have: Ability to conduct knowledge-sharing sessions, demos, and workshops with clients and internal teams.

Required Skills & Experience

Technical Skills

Strong hands-on experience with LLMs, GAI frameworks, and modern AI stacks (OpenAI, Azure OpenAI, Anthropic, Meta Llama, etc.).
Experience building AI pipelines using:
- MCP/RAG architectures
- Agents / multi-agent orchestration
- Prompt engineering & evaluation techniques
- Fine-tuning or parameter-efficient training (LoRA, adapters, etc.)
Proficiency in Vibe coding using the latest AI Code generation tools
Proficiency in Python and/or Node.js, including:
- LangChain / Semantic Kernel / LlamaIndex
- ML frameworks (PyTorch, TensorFlow optional)
Experience with vector databases (Pinecone, Weaviate, Chroma, Redis Vector).
Knowledge of cloud AI services: Azure, AWS, Google Cloud Platform
Strong understanding of API architectures, microservices, DevOps, CI/CD, and containerization.

Solution Engineering & Delivery Skills

Proven ability to translate business needs into scalable AI designs.
Experience interacting with customers, gathering requirements, and presenting technical solutions.
Strong documentation, architecture diagramming, and communication skills.

Background

5-10+ years in software engineering or solution engineering.
2-3+ years specifically in AI/ML or GenAI implementation.
Bachelor's/Master's in Computer Science, Engineering, AI/ML, or related fields.

Preferred Qualifications

Experience with telco and media, or large enterprise environments.
Knowledge of data engineering, ETL pipelines, feature stores.
Experience with MLOps or LLMOps methodologies and tools.
Exposure to vector search optimization, knowledge graphs, or reinforcement learning.
Familiarity with responsible AI, security, governance, and compliance frameworks.

What We Offer

Opportunity to build impactful AI solutions at a massive scale.
A front-row seat in next-generation AI innovation.
A collaborative, innovative, and supportive environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL155990
Position Id: b972070933500f5d7f8370e628b2f654
Posted 2 days ago

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Technical AI Solution Engineer

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