AI Consultant

AI Consultant

We are seeking a highly motivated and hands‑on AI Consultant to join our team. This role blends strategic advisory with deep technical execution, focusing on delivering measurable business outcomes through AI.

The ideal candidate will partner closely with business and technical stakeholders to identify high‑value opportunities, rapidly prototype AI‑driven solutions, and lead their deployment and adoption s role requires a strong balance of consulting mindset, engineering capability, and change‑management expertise.

• Partner with stakeholders to analyze business processes, workflows, and operational challenges
• Identify, prioritize, and define high‑impact AI/ML and Generative AI use cases
• Conduct thorough evaluations of AI initiatives/proposals, ensuring they are secure, scalable, and directly address the core needs of the business.

• Rapidly design, build, and iterate AI‑powered prototypes and production‑ready solutions
• Develop applications leveraging LLM APIs (e.g., GPT, Gemini, Claude), RAG architectures, and agentic workflows
• Implement integrations using tools such as MCP, APIs, enterprise connectors, and workflow automation platforms
• Prepare and engineer data pipelines, including data cleaning, transformation, and feature engineering
• Apply best practices in prompt engineering, evaluation frameworks, and model tuning

• Lead deployment of AI solutions into enterprise environments (cloud/on‑prem/hybrid)
• Ensure seamless integration with existing systems (ERP, Contract Management, data platforms, etc.)
• Establish scalable architectures, including monitoring, logging, and versioning (MLOps / LLMOps)
• Address security, compliance, and governance requirements for enterprise AI adoption

• Design and deliver training sessions, workshops, and enablement programs for business users
• Drive organizational adoption by embedding AI into day‑to‑day workflows
• Create documentation, playbooks, and best practices for sustainable usage
• Act as a trusted advisor to stakeholders throughout the AI transformation journey

• Define KPIs and success metrics to measure business impact (efficiency, cost savings, revenue uplift, etc.)
• Monitor model and system performance, including accuracy, latency, and user adoption
• Continuously optimise solutions based on feedback and evolving business needs
• Stay current with advancements in AI/ML and Generative AI to bring innovative solutions

• Strong foundation in AI/ML concepts, including supervised/unsupervised learning and deep learning
• Experience with AI/ML frameworks
• Practical experience with Generative AI technologies, including LLM APIs and RAG architectures
• Familiarity with agent frameworks, tool‑use systems, and orchestration platforms
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data ecosystems

• Proven ability to translate complex business challenges into AI‑driven solutions
• Strong problem‑solving and analytical thinking skills
• Excellent communication skills with the ability to engage both technical and non‑technical audiences
• Experience managing cross‑functional projects and stakeholders
• Ability to influence decision‑making and drive outcomes in ambiguous environments

• Experience in Life Sciences industry
• Exposure to enterprise AI platforms (e.g., Azure OpenAI, Vertex AI, Bedrock)
• Experience with knowledge graphs, vector databases, or semantic search
• Background in change management or digital transformation initiatives

The hourly pay range for this position at commencement of employment is expected to be between $150/hour and $200/hour; however, pay offered may vary depending on multiple individualized factors, including market location, job‑related knowledge, skills, and experience.