Description

Job Summary

We are seeking an experienced and strategic AIDLC Lead 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

Enable Skills-Based Hiring No ECMS REQ IDAdditional Details

- ECMS REQ ID : 578863
- Project Location 1 : Pan India
- Project Location 2 : (No Value)
- Project Location 3 : (No Value)
- Project Location 4 : (No Value)
- Delivery SPOC :



sriharsha_bodapati
- Relevant Experience : 6-8 Years
- Mandatory skills : 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 AIML space and min 4+ years of experience of leading/managing/coaching AIML engineering team, especially on 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, GCP), and modern AI/ML frameworks Experience with CI/CD pipelines, Docker, Kubernetes, DevOps, and automation practices Robust 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
- Desired skills : Preferred Qualifications Certifications in AI/ML, Cloud, Data Engineering, or Agile methodologies Experience with responsible AI, model risk management, and regulatory compliance Exposure to healthcare, financial services, or other highly regulated enterprise environments Experience leading enterprise AI transformation or platform modernization initiatives
- Domain (Industry) : Health Care
- BGC (Before onboarding / After onboarding) : PreOB
- Total Experience (Ex. 5-7 Years) : 6-8 Years
- BGC Details : Infosys standard checklist
- BGC Vendor : Any NASSCOM registered vendor
- Mode of Interview : Face to Face
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : 2-11PM
- Shift Timings : Others

📌 578863 - HC-ADM - AI Development Lifecycle Lead/ Coach - India
🏢 Trigent Software
📍 India