Corporate AI Engineer (Agent Whisperer)

About Bluestaq
At Bluestaq, we build secure data platforms that matter for space missions, national defense, healthcare systems, and commercial innovation. Founded in 2018, we've become a leader in enterprise software and secure data management by staying focused on what counts: modern architecture, operational excellence, and mission impact.

We're engineers, problem-solvers, and builders who take the mission seriously, but not ourselves. We automate the repeatable, question the status quo, and design systems that are as reliable as they are scalable. Whether we're supporting space, defense systems, or healthcare advancements, we build with the same principles: cloud-native solutions, security by design, and relentless simplicity.

Our name? "Blue" (military shorthand for the good guys) and "staq" (as in software stack). It's who we are, mission-aligned technologists building platforms that protect the world’s most valuable data.

Recognized Excellence We've earned national recognition as one of Inc. Magazine's Fastest-Growing Private Companies and consistently rank among Colorado's Best Workplaces. But what we're most proud of? The systems we build, the teams we develop, and the mission outcomes we enable.

Corporate AI Engineer (Agent Whisperer)

Build, Deploy, and Maintain AI Tools as a Corporate Asset 

About the Role 
Bluestaq is seeking a Corporate AI Engineer to serve as the dedicated, central resource for all company-wide AI initiatives. This is a hands-on individual contributor role focused on the full lifecycle of AI tools: designing, building, securely deploying, maintaining, monitoring, and scaling production-grade AI solutions that become reliable corporate assets. 

You will be the primary point of contact for AI across teams, providing technical expertise, implementing solutions, ensuring ongoing reliability and compliance, and supporting adoption. The emphasis is on deep engineering execution, production operations, and practical enablement to deliver real business value through AI capabilities like automation, analytics, decision support, and generative tools. 

Why This Role Matters 
AI drives strategic advantage at Bluestaq. A single, skilled engineer dedicated to consistently building, deploying, and sustaining AI tools prevents silos, security risks, technical debt, and underutilization. This role establishes a dependable corporate foundation for AI, ensuring tools are robust, compliant, cost-effective, and continuously improved, while empowering teams to leverage them effectively. 

Key Responsibilities 

AI Tool Development & Deployment 

• Design, build, and deploy internal AI tools, models, and applications using leading foundation models, generative AI platforms, and current frameworks. 
• Implement robust MLOps pipelines: data handling, model integration/fine-tuning, versioning, CI/CD, containerization, and secure production rollout. 
• Integrate AI solutions with enterprise systems, APIs, and workflows to enable automation or enhanced capabilities. 
• Rapidly prototype and refine based on performance metrics and stakeholder input. 

Maintenance, Monitoring & Operations 

• Manage ongoing operations for deployed AI tools: monitor performance, detect drift, retrain models, optimize scaling/costs, and resolve incidents promptly. 
• Set up and maintain observability stacks (logging, metrics, alerting) with industry tools and cloud services. 
• Uphold security, privacy, ethical standards, and compliance (bias checks, data protection, regulatory alignment). 
• Conduct routine updates, performance tuning, and audits to keep AI tools effective and up-to-date. 

Corporate AI Enablement & Support 

• Serve as the go-to expert and point of contact for AI questions, use cases, and requests organization-wide. 
• Guide teams on feasibility, best practices, tools, and implementation strategies. 
• Create and maintain reusable standards, templates, reference architectures, and clear documentation for AI work. 
• Deliver practical support: demos, workshops, guides, and direct assistance to boost company-wide AI capabilities. 
• Monitor AI tool usage, impact, and ROI; share insights and recommendations regularly. 

Cross-Functional & Technical Duties 

• Assess and securely integrate external AI services or platforms when beneficial. 
• Support AI governance: risk evaluation, ethical reviews, and policy compliance. 
• Keep pace with generative AI, agentic systems, and enterprise patterns; suggest actionable adoption approaches. 
• Collaborate closely with engineering, data, security, product, and corporate teams to align solutions with priorities. 

Elite AI Proficiency 

• Must be capable of bending powerful generative AI assistants to your will, extracting exactly the output you want, even when the model resists or hedges; bonus points if you can consistently make them apologize, backtrack, or admit fault when you push hard enough. 
• Highly proficient with state-of-the-art generative AI tools, the kind of person who can get an AI to write Python poetry that actually rhymes, maintains perfect meter, and genuinely feels like it means every line. 

Qualifications & Skills 

• 2+ years hands-on experience in AI/ML engineering, MLOps, or production AI deployment/maintenance. 
• Proficiency in Python and AI ecosystems (e.g., frameworks for LLMs, RAG, agents, prompt optimization). 
• Experience with cloud platforms (AWS, Azure, or GCP) for AI workloads, model serving, and infrastructure as code. 
• Knowledge of containerization/orchestration (Docker, Kubernetes) and CI/CD for AI pipelines. 
• Strong grasp of AI security, monitoring, governance, and ethics in enterprise contexts. 
• Demonstrated success supporting diverse stakeholders as a technical point of contact. 
• Excellent problem-solving, documentation, and communication for technical/non-technical audiences. 

Preferred Qualifications 

• Production experience with large-scale generative models, RAG, agentic workflows, or similar. 
• Exposure to regulated/security-focused environments (defense, government, etc.). 
• Relevant certifications (cloud ML, etc.). 

Required Education Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience). 

Clearance Requirement: This position may require the ability to obtain a TS/SCI Clearance. To be eligible for a security clearance, U.S. citizenship is required, and an employee must agree to participate in a background screen and credit check. Eligibility for a TS/SCI Clearance will be assessed as part of the onboarding process or based on programmatic needs.

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• Must be able to lift up to 15 pounds at times.
• Must be able to access and navigate each department at the organization's facilities.

Relocation: This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense.

Bluestaq is an Equal Opportunity Employer. We prohibit unlawful discrimination against applicants or employees on the basis age 40 and over, color, disability, gender identity, genetic information, military or veteran status, national origin, race, religion, sex, sexual orientation, or any other status protected by state or local law.

Bluestaq will make reasonable accommodations for qualified individuals with known disabilities and employees whose work requirements interfere with a religious belief unless doing so would result in an undue hardship to Bluestaq or a direct threat. Employees needing such accommodation are instructed to contact Human Resources immediately at contact.us@bluestaq.com.

Date the Position Closes: Applications will be accepted for 60 days beyond the posting date, or until the position is filled, whichever comes first.