AI/ML Architect, Enterprise Finance

Cloud Analytics Technologies, LLC; Olympia (WA); On-site; USD 81,000 - 115,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a Lead AI/ML Engineer to architect, build, and operationalize AI capabilities for the Finance organization. You will lead AI-powered solutions including LLM workflows, RAG, and intelligent agents, and work with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable AI products.

The role requires a BA/BS in a technical field and significant hands-on experience deploying generative AI in production, with

Qualifications

• Bachelor's degree or equivalent in a technical field.
• Significant experience in software engineering, machine learning, or AI engineering.
• Hands-on experience building and deploying generative AI and LLM-based applications in production environments.
• Experience with prompt engineering, RAG architectures, AI agents, model evaluation, and governance.

Responsibilities

• Design AI solution architectures aligned with business objectives and governance.
• Build and deploy LLM workflows, prompt orchestration, and agent-based solutions.
• Develop prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallbacks.
• Partner with Data Engineering to access trusted data sources.
• Establish evaluation frameworks, datasets, and model-performance benchmarks.
• Monitor output quality, latency, cost, and hallucination risk.
• Collaborate with security, privacy, compliance, and enterprise teams.
• Document AI solution behavior, controls, and monitoring requirements.
• Support production readiness through observability and drift detection.

Skills

AI/ML engineering

LLM applications

Prompt engineering

RAG architectures

Cloud-native architectures

Data governance

Stakeholder collaboration

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Location: Olympia, WA

Duration: 9 Months+ Extension

Bill Rate: $71/hour(C2C)
Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

Are you passionate about applying AI to solve complex business challenges at enterprise scale? We are seeking a Lead AI/ML Engineer to Architect, build, and operationalize AI capabilities that drive decision-making, productivity, and innovation across the Finance organization.

In this role, you will lead the development of AI-powered solutions including large language model (LLM) applications, retrieval-augmented generation (RAG), intelligent agents, classification models, summarization workflows, and decision-support tools. You will work closely with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable, and governed AI solutions. The role aligns with enterprise AI/ML engineering practices and AI productization standards

Key Responsibilities:

• Design AI solution architectures aligned with business objectives, risk tolerance, and governance requirements.
• Build and deploy LLM workflows, prompt orchestration chains, agent-based solutions, RAG applications, model integrations, classification models, and decision-support capabilities.
• Develop prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms to improve solution quality and reliability.
• Partner with Data Engineering teams to ensure access to trusted, governed, and high-quality data sources.
• Establish evaluation frameworks, test datasets, scoring rubrics, and model-performance benchmarks.
• Monitor and optimize output quality, relevance, accuracy, consistency, latency, cost efficiency, and hallucination risk.
• Conduct failure-mode analysis and implement continuous improvements to AI systems.
• Collaborate with Quality Engineering, Responsible AI, Security, Privacy, Compliance, and Enterprise Architecture teams.
• Document AI solution behavior, limitations, controls, and operational monitoring requirements.
• Support production readiness through observability, monitoring, model evaluation, and drift detection practices.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field; equivalent experience considered.
• Significant experience in software engineering, machine learning, or AI engineering.
• Hands-on experience building and deploying generative AI and LLM-based applications in production environments.
• Experience with prompt engineering, RAG architectures, AI agents, model evaluation, and operational AI governance.
• Strong understanding of cloud-native architectures, APIs, data platforms, and scalable software systems.
• Knowledge of Responsible AI, security, privacy, and compliance practices.
• Proven ability to work effectively with technical and business stakeholders.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Some of our Business Ventures - Knowledge Analytics

Do restrictive necessities, your capability for advanced analytics or your business model need custom-made applications and infrastructure configurations? opt for our hosted managed services to urge comprehensive analytics solutions supported industry-leading Cloud Analytics Technologies, LLC code - delivered by the Cloud Analytics Technologies, LLC consultants UN agency understand these solutions best. Through a mix of with-it technology and dedicated service and support, Cloud Analytics Technologies, LLC hosted managed services will facilitate you: