What are the responsibilities and job description for the AIDLC Consultant (AI Development Lifecycle) position at Resource Innovative Technologies LLC?
Role: AIDLC Consultant (AI Development Lifecycle)
Location: MN (5 days onsite)
Duration: Long term
Job Summary
We are seeking an experienced and strategic AIDLC Coach to drive and govern the end-to-end AI Development Lifecycle across enterprise AI initiatives. This role will lead the design, implementation, operationalization, and continuous improvement of AI/ML solutions while ensuring scalability, compliance, security, and responsible AI practices. The ideal candidate will combine strong technical expertise with leadership capabilities to guide cross-functional teams in delivering high-impact AI solutions.
Key Responsibilities
Lead and manage the complete AI Development Lifecycle (AIDLC) for enterprise AI/ML initiatives
Define AI engineering standards, governance processes, and operational best practices
Collaborate with business stakeholders, product teams, architects, and data scientists to identify AI opportunities and deliver scalable solutions
Oversee AI solution architecture, model development, deployment, monitoring, and optimization processes
Drive adoption of MLOps, automation, CI/CD, and AI operational frameworks
Ensure compliance with security, privacy, regulatory, and responsible AI requirements
Establish model monitoring, drift detection, performance management, and incident response processes
Mentor and guide engineering teams on AI/ML technologies, GenAI, LLMs, and emerging capabilities
Manage technical roadmaps, delivery timelines, risks, and dependencies for AI programs
Promote innovation, continuous improvement, and enterprise AI adoption
Partner with leadership teams to align AI initiatives with strategic business objectives
Create and maintain technical documentation, governance artifacts, and operational procedures
Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
6–8 years of working experience within AI/ML space and minimum 4 years of experience leading/managing/coaching AIML engineering team, with an AIDLC work model
Strong experience in AI/ML engineering, AI platform delivery, and enterprise AI solution implementation
Deep understanding of AI Development Lifecycle (AIDLC), AIDLC frameworks (Spec Kit, BMAD, Spectra etc.), and AI governance frameworks
Expertise in Python, APIs, SQL, cloud platforms (Azure, AWS, Google Cloud Platform), and modern AI/ML frameworks
Experience with CI/CD pipelines, Docker, Kubernetes, DevOps, and automation practices
Strong knowledge of GenAI, LLMs, prompt engineering, and AI orchestration frameworks
Experience in model deployment, monitoring, scalability, and operational support
Understanding of data engineering, analytics, and enterprise integration patterns
Proven leadership experience managing cross-functional technical teams and stakeholders
Excellent communication, collaboration, and problem-solving skills
Key Competencies
AI Strategy & Leadership
AI/ML Engineering & MLOps
Enterprise Solution Architecture
AI Governance & Responsible AI
Stakeholder Management
Innovation & Transformation
Team Leadership & Mentoring
Strategic Planning & Execution