Consulting Point
Senior Consultant - AI Ops
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This is a unique opportunity to join a high-impact consulting team at the forefront of cloud transformation, helping major organisations modernise their operating models and unlock greater value from AI, automation, and technology.
As a Senior Consultant within AIOps, you will play a key role in shaping and delivering cloud transformation programmes across a range of sectors. You will work closely with clients and multidisciplinary teams to assess, design, and improve cloud operating models, combining advisory capability with hands-on knowledge of IT operations, observability, service management, DevOps, and emerging AI technologies.
Key Responsibilities
- Advise clients on cloud transformation strategy and the impact of cloud operating models on business performance
- Conduct AIOps assessments and audits to identify improvement opportunities across cloud and operational environments
- Monitor and evaluate the maturity and effectiveness of cloud operating model transformations, recommending adjustments where required
- Support delivery of business outcomes through strategy development, service management, agile delivery, DevOps, process mapping, and organisational design
- Work collaboratively across different levels of client organisations to design and implement practical transformation solutions
- Contribute to business development activity, including proposals, RFPs, bids, proposition development, and client presentations
- Support internal practice growth through thought leadership, whitepapers, campaigns, team initiatives, and offering development
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Desirable Experience
- Experience applying Lean Six Sigma concepts, frameworks, and best practices, ideally in a process transformation or re-engineering environment
- Experience operating as an LSS Black Belt, preferably with certification
- Strong knowledge of IT operations, observability, and monitoring practices and tools
- Awareness of predictive and prescriptive analytics in an IT operations context
- Understanding of AI frameworks and AIOps or MLOps lifecycle concepts
- Basic grounding in mathematics and statistics for data handling and AI or ML model evaluation
- Familiarity with supervised learning, unsupervised learning, deep learning, and other advanced ML techniques
- Knowledge of LLMOps, prompt engineering, RAG, model fine-tuning, and semantic evaluation
- Awareness of AI ethics, safety, guardrails, compliance, and optimisation considerations
- Experience with DevOps practices including CI/CD, automated testing, and infrastructure as code
- Knowledge of major cloud platforms such as AWS, Azure, or Google Cloud, including core services across compute, storage, networking, and security
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If you are excited by the opportunity to work on complex transformation programmes, develop sought-after expertise in AIOps and cloud advisory, and grow your career in a collaborative consulting environment, this role offers strong exposure, continuous learning, and meaningful long-term progression.
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