Capability and Practice Building

• Develop and refine proprietary AI frameworks, methodologies, accelerators and reusable toolkits.
• Mentor consultants and engineers moving into client-facing AI work, and run internal enablement sessions.
• Publish thought leadership - white papers, points of view and case studies - and represent Robosoft at client and industry forums.
• Track emerging AI technologies and regulation, and fold the implications into our frameworks and client advice.

Who You Are

• Credible with executives: You hold your own in a CDO, CTO or CMO conversation, and you are asked back because you were useful rather than impressive.
• Commercially honest: You quantify value, and you say plainly when a use case will not return its cost, even when it shrinks the deal.
• Technically grounded: You can challenge an architecture choice or a model selection without needing an engineer in the room to validate you.
• A builder of reusable assets: You finish an engagement and leave behind a framework, template or playbook the next team can use.
• Comfortable with ambiguity: You can walk into an unstructured client problem, frame it within a week, and get stakeholders to agree on the frame.

Leadership Expectations

• Define and uphold consulting standards for AI engagements - discovery approach, deliverable quality and value-case rigour.
• Mentor 2 to 5 consultants or engineers, reviewing their client deliverables and coaching their stakeholder handling.
• Influence practice-level go-to-market decisions in the US - which offers we lead with, and which segments we pursue.
• Represent the AI practice externally, contributing to hiring, partner conversations and industry presence.

What You Bring

Required Experience

• 12 to 15 years in consulting, digital transformation, or AI and analytics programmes.
• Proven pre-sales or solution consulting experience with executive-level stakeholders, including owning proposals and RFP responses.
• Demonstrated engagement or programme leadership on AI or analytics initiatives, ideally onsite with the client.
• Track record of building business cases and ROI models that secured programme funding.
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Engineering, Business or a related discipline.

Additional Skills

• Executive communication and storytelling - you can compress a complex programme into three slides and defend it under questioning.
• Stakeholder management across levels, from C-suite sponsors to the engineering leads who inherit the work.
• Workshop facilitation with mixed business and technical groups.
• Written fluency - proposals, points of view and case studies that read as authored, not assembled.

Core Skills

• AI and ML fundamentals - model lifecycle, evaluation, limitations, and when not to use ML.
• Generative AI and LLMs - RAG patterns, agentic workflows, prompt and context design, model selection trade-offs.
• MLOps and AI governance - deployment, monitoring, model risk, responsible-AI practice and emerging regulatory obligations.
• Business case and ROI modelling for technology investments.
• Pre-sales consulting craft - discovery, solutioning, proposal writing and bid defence.
• Engagement and programme management for multi-workstream delivery.

Preferred / Good to Have

• Cloud AI platform experience - AWS SageMaker or Bedrock, Azure AI, or Google Vertex AI (good to have).
• Modern data platform knowledge - Databricks, Snowflake or equivalent lakehouse architectures, plus data governance (good to have).
• Published thought leadership - white papers, conference talks or industry case studies (good to have).
• Prior experience in a consultancy or digital engineering services firm (good to have).
• Cloud or AI certifications from a major provider (good to have).

What We Offer

• Practice-shaping scope: Real influence over how Robosoft's AI practice goes to market in North America.
• Delivery that ships: Consulting work that lands with engineering teams who build and release it, not in a shelf report.
• Learning and Development: Annual budget for certifications, courses and conferences - [Insert learning budget amount].
• AI Centre of Excellence: Access to Robosoft's AI CoE, research group, accelerators and senior architects.
• Health and Wellbeing: Comprehensive US medical, dental and vision coverage, plus retirement benefits.
• Flexibility: Remote-first working, with travel that serves the engagement rather than the calendar.

Working at Robosoft

At Robosoft, we are guided by six values: Care, Creativity, Collaboration, Empowerment, Excellence and Integrity that shape how we work with each other and with our clients. We bring together people from different disciplines and backgrounds to solve complex digital problems for some of the world's most recognised organisations. If you are someone who holds themselves to a high standard, works well with others and wants to be part of a team that does work that matters, we would like to hear from you.

Equal Opportunity

Robosoft Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. All qualified applicants will receive consideration for employment without regard to any of these characteristics.