About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology, Information and Internet.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

---

Position Overview

Confidential Client is hiring an experienced AI / ML engineering leader to drive the design, development, and production delivery of AI-powered systems (Generative AI, large language models, NLP, predictive analytics, and AI automation). This remote role will partner with product, architecture, and engineering teams to deliver responsible, compliant, and operationally robust AI solutions at enterprise scale.

---

What You’ll Do

• Lead end-to-end adoption and integration of AI/ML solutions, from design and development through testing, deployment, and production support.
• Provide technical leadership and set architecture direction for initiatives that include conversational AI, LLMs, RAG (Retrieval-Augmented Generation), and intelligent automation.
• Evaluate and integrate cloud-native AI/ML services and vendor offerings (AWS, Azure, GCP) into enterprise platforms.
• Establish and govern model lifecycle processes, including versioning, monitoring, validation, and incident response for models in production.
• Collaborate with product management, data engineering, and security/compliance teams to ensure AI solutions meet business, ethical, and regulatory requirements.
• Mentor and upskill engineering teams on AI/ML best practices, model testing, responsible AI, and production reliability.
• Drive innovation by assessing emerging techniques and recommending pragmatic adoption paths aligned to business goals.

---

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Engineering, or equivalent practical experience.
• 12+ years of software engineering experience, with 4+ years focused on AI/ML engineering (or equivalent demonstrated impact).
• 4+ years delivering enterprise-scale AI/ML, data, or cloud platforms into production.
• 3+ years in a technical leadership role, including setting technical direction and mentoring teams.
• Hands-on experience with Generative AI and large language models, NLP, and AI architecture patterns.
• Practical experience with agentic AI patterns, Retrieval-Augmented Generation (RAG), and AI orchestration/automation frameworks.
• Strong Python development skills and familiarity with enterprise-scale AI/ML platforms and tooling.
• Experience evaluating and using cloud AI/ML services across at least one major provider (AWS, Azure, GCP).
• Knowledge of AI governance, model lifecycle management, monitoring, and production operationalization processes.
• Excellent communication skills and a demonstrated ability to collaborate cross-functionally and influence stakeholders.

---

Preferred / Nice-to-have

• Experience in healthcare or regulated industries (preferred but not required).
• Prior work delivering conversational agents or large-scale LLM deployments.
• Experience with MLOps platforms, model monitoring tools, and observability for ML systems.
• Familiarity with responsible AI frameworks, privacy-preserving ML, and compliance for production models.

---

What We Offer

• Comprehensive health insurance and wellness programs.
• Retirement savings options (401(k) or equivalent) and potential employer contributions.
• Performance-based incentives and recognition programs.
• Equity / stock purchase opportunities where applicable.
• Flexible and remote work arrangements.
• Professional development and training allowances.
• Paid time off and observed holidays.

---

Location & Employment Type

• Remote (telecommute) — open to candidates based in the United States where permitted.
• Full-time

Note: Candidates may be asked to complete background checks and/or drug screening where required or permitted by law.

---

Why Apply via Careertakes

• Careertakes is acting as the recruiting partner for this confidential client. Applying through Careertakes gives you exposure to this opportunity and additional matched roles across our network.
• We screen fairly and efficiently — AI-assisted resume review may be used to help prioritize candidates, but human decision-makers make final hiring choices.

---

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.