Technology Specialist - AI/ML Engineering & AI Development Lifecycle

We are seeking an experienced AI/ML Engineering Lead to drive enterprise AI initiatives, AI platform delivery, and AI Development Lifecycle (AIDLC) transformation. The ideal candidate will have strong hands-on experience in AI/ML engineering, enterprise AI solution implementation, and leading or mentoring AI/ML engineering teams. Key Responsibilities Lead, manage, mentor, and coach AI/ML engineering teams, with a strong focus on AIDLC-based delivery. Drive enterprise AI transformation and AI platform modernization initiatives. Design, develop, and implement scalable AI/ML solutions for enterprise environments. Establish and improve AI Development Lifecycle (AIDLC) processes, frameworks, and engineering practices. Work with AIDLC frameworks such as Spec Kit, BMAD, Spectra, or similar AI development methodologies. Collaborate with architecture, engineering, data, security, and business teams to deliver AI solutions. Define and implement responsible AI practices, including governance, transparency, explainability, and risk controls. Support model risk management and regulatory compliance requirements. Establish best practices for AI/ML development, testing, deployment, monitoring, and lifecycle management. Evaluate emerging AI/ML technologies and recommend appropriate enterprise adoption strategies. Lead AI platform delivery and integration across enterprise technology environments. Support modernization of existing platforms and applications using AI/ML capabilities. Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and performance requirements. Communicate technical strategies, architecture decisions, and AI transformation roadmaps to senior stakeholders. Required Skills 8–10 years of overall experience in technology, with 6–8 years of experience in AI/ML. Minimum 4 years of experience leading, managing, or coaching AI/ML engineering teams. Strong experience in AI/ML engineering and enterprise AI solution implementation. Strong understanding of AI Development Lifecycle (AIDLC). Experience with AIDLC frameworks and methodologies such as Spec Kit, BMAD, Spectra, or comparable frameworks. Experience delivering and managing enterprise AI platforms. Strong understanding of AI governance and responsible AI practices. Experience with model risk management and regulatory/compliance requirements. Experience leading enterprise AI transformation or platform modernization initiatives. Strong communication, stakeholder management, and technical leadership skills. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field. Certifications in AI/ML, Cloud, Data Engineering, or Agile methodologies. Experience working within healthcare, financial services, or other highly regulated enterprise environments. Experience with cloud-based AI/ML platforms and enterprise data ecosystems. Experience establishing AI governance, risk, and compliance processes. 2T Consulting