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Sr AI Solutions Arch

Denver, CO, US • Posted 3 days ago • Updated 3 days ago

Contract W2

Contract Independent

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

📋 Comparing job requirements...

Job Details

Skills

GenAI
AI solution design
RAG
agents
ML models
LLM
Langchain
Semantic Kernel
vector DB
A/B testing
Conversational design

Summary

Sr AI Solutions Arch

Denver, CO

Onsite 5 days.

Mission

Drive adoption of AI/GenAI across the organization by translating business problems into scalable AI solutionsand ensuring delivery from idea → production.

Core Responsibilities

Define AI / GenAI strategy & roadmap
Identify high-value use cases (automation, copilots, analytics, etc.)
Translate business needs → AI solution design (RAG, agents, ML models)
Lead cross-functional execution (engineering, data, product, design)
Own end-to-end lifecycle (discovery → build → deploy → optimize)
Establish AI governance, standards, and best practices
Track impact (ROI, adoption, performance metrics)

Primary Skills (Must-Have)

These were the “non-negotiables”:

1. AI / GenAI Expertise

LLMs, RAG, copilots, NLP
Prompt engineering basics
Understanding of ML lifecycle

2. Product + Strategy Thinking

Strong product management mindset
Roadmap creation & prioritization
Business problem decomposition

3. Solution Architecture Awareness

Ability to design end-to-end AI systems
APIs, data pipelines, integrations
Cloud-native patterns

4. Execution Leadership

Drive delivery across teams
Stakeholder management
Decision-making under ambiguity

5. Technical Fluency

Comfortable with:

Python / SQL (at least working level)
Data platforms (Snowflake, Databricks, etc.)
Cloud (Azure / AWS / Google Cloud Platform)

Secondary Skills (Good-to-Have)

These made candidates stronger but weren’t strict requirements:

1. Hands-on GenAI Tooling

LangChain / Semantic Kernel / vector DBs
Fine-tuning / embeddings familiarity

2. Agile & Delivery Frameworks

Scrum / SAFe
Product operating models

3. Data & Analytics Depth

Experimentation (A/B testing)
Metrics design for AI products

4. UX for AI

Conversational design
Human-in-the-loop systems

5. Domain Experience

Industry-specific AI use cases (finance, healthcare, etc.)

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: 10196450
Position Id: SVMA69
Posted 3 days ago

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