Lead Software Engineer - AI & Machine Learning

ARCHER; Columbus (OH); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health Care Coverage

On-Site Health And Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Job summary

ARCHER is seeking a leader to drive enterprise adoption of responsible AI, ML, and intelligent automation in Columbus. You will align stakeholders, establish standards and governance, and promote secure engineering practices across teams.

The role requires strong AI/ML knowledge, cloud enterprise architectures, and experience influencing senior leaders to support organization-wide adoption. This position offers opportunities to shape governance and reference architectures at scale.

Qualifications

• Requires formal training or certification in software engineering concepts.
• At least five years of applied experience.
• Ability to influence senior stakeholders and support enterprise-wide standards and adoption.
• Strong knowledge of AI and machine learning, cloud-based enterprise architectures, software engineering practices, Responsible AI governance, and safe use of AI-assisted development tools.

Responsibilities

• Lead enterprise adoption of responsible AI and machine learning by aligning stakeholders and establishing practical standards, reference architectures, and governance.
• Advise teams, promote secure and resilient engineering practices, and build a community of practice to improve delivery quality.

Skills

AI And Machine Learning

Generative AI

Large Language Models

Small Language Models

Natural Language Processing

Intelligent Automation

Responsible AI Governance

Software Development Life Cycle

Scalable System Design

Cloud Architecture

APIs And Microservices

Enterprise Architecture

AI-Assisted Software Development

Secure Coding

Operational Resilience

Stakeholder Alignment

Education

Formal training or certification in software engineering concepts

Job description

Lead enterprise adoption of responsible AI, machine learning, and intelligent automation by aligning stakeholders and establishing practical standards, reference architectures, and governance. Enable reuse and improve delivery quality by advising teams, promoting secure and resilient engineering practices, and building a community of practice.

Requirements: Requires formal training or certification in software engineering concepts and at least five years of applied experience, along with the ability to influence senior stakeholders and support enterprise-wide standards and adoption. Candidates should have strong knowledge of AI and machine learning, cloud-based enterprise architectures, software engineering practices, Responsible AI governance, and safe use of AI-assisted development tools.

Key Skills: AI And Machine Learning, Generative AI, Large Language Models, Small Language Models, Natural Language Processing, Intelligent Automation, Responsible AI Governance, Software Development Life Cycle, Scalable System Design, Cloud Architecture, APIs And Microservices, Enterprise Architecture, AI-Assisted Software Development, Secure Coding, Operational Resilience, Stakeholder Alignment

Benefits:

• Health Care Coverage
• On-Site Health And Wellness Centers
• Retirement Savings Plan
• Backup Childcare
• Tuition Reimbursement
• Mental Health Support
• Financial Coaching