SDG Group UK
AI Tech Pre-sales UK
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AI Tech Pre-sales UK
**AI Tech Pre-sales Specialist – SDG UK
Location: London / Hybrid Base Salary & Benefits: £90k + Communications Bonus + Benefits
💥 Transform the Future with SDG: Global Leaders in Data & AI 💥
At SDG Group, we foster precision and innovation through a slab of 200+ multidisciplinary AI experts, including:
- Industry & Business Domain Experts
- Business Scientists
- AI Architects & Engineers
- AI Research & Development (R&D) Specialists
- AI Compliance & Governance Experts
With 70+ clients engaged and 100+ AI use cases delivered, SDG tailors bespoke AI solutions across industries, delivered via proprietary IP including 50+ technology accelerators, frameworks, and tools to accelerate AI implementation. Through SDG iLabs, we experiment with emerging AI trends—strengthening alliances with top hyperscalers like Microsoft, Google, and AWS.
Yet another full endorsement of data and AI services leader. Joining SDG means advancing groundbreaking innovations daily—be part of creating the future of intelligent business solutions!
About the Role
This critical hybrid role sits at the intersection of sales and AI expertise, serving as a key technical bridging function between clients and SDG’s AI Architecture & Data Science teams.
As an AI Pre-Sales Technologist, your mission is to empower enterprise clients with the ability to understand, envision, and adopt AI-driven solutions aligned with their unique challenges—acting as their trusted technical advisor throughout the consultative selling process.
Core Responsibilities
✍ Client & Stakeholder Engagement
- Build and nurture trusted relationships with potential clients, establishing technical confidence in SDG’s propositions.
- Serve as a technical advocate for AI/ML strategies during negotiations and close.
🧩 Solution Design & Feasibility
- Collaborate with AI Architects & Data Scientists to design innovative yet feasible technical solutions from a both algorithmic/machine learning and cloud scalability perspective.
- Provide expert guidance on AI architecture patterns and end-to-end solution implementation methodologies.
✨ Value Proposition & Positioning
- Shape SDG’s AI value narrative for the market (go-to-market strategies, positioning arguments) while educating clients on TCO, ROI, and business outcomes.
- Lead AI-oriented commercial proposals, aligning technology vision with client success.
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💬 Collaborative Pre-Sales Execution
- Work closely with the sales team to advise, validate, and empower them to overcome objections, exemplarised by realistic technical roadmaps and partnership frameworks.
📚 Knowledge & Trend Leadership
- Monitor industry advancements (e.g. RAG, MLLM evolutions, fine-tuning LLMs) to ensure SDG remains at the forefront of AI capabilities.
- Propose innovation strategies triangulating emerging tech with SDG’s partnership ecosystem.
🚀 AI Roadmapping & Client Strategy
- Partner early-stage clients to align post-sales AI roadmaps across technical (MLOps, deployment, observability) and strategic (scaling impact) dimensions.
Required Qualifications
🔹 Client-Facing Expertise
- Proven ability to translate technical jargon into business goals, demonstrating success with complex stakeholder relationships (executives, cross-functional leaders).
- Familiarity with consultative sales processes (questioning, pitching, deal closure) and Deliver efficiencies in B2B AI advice-giving.
🔹 Pre-Sales & Technical Knowhow
- Hands-on pre-sales experience preferred (e.g., pre-sales engineer, solution engineer roles at tech providers or consultancies).
- Must exercise confident software + business insight in proposing optimized AI deployments.
🔹 Presentational & Communication
- Destined to excel in presenting technical content to non-technical audiences using concise demonstrations, comparisons, and frameworks.
- Strong collaborative skills—balancing a ferocity to challenge assumptions while handing tempering visions with market relevance.
🔹 Academic Foundation
- Undergraduate or higher degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related technologies.
🔹 Industry Experience
- Minimum 5 years in AI/ML, Data-Science, Software Engineering, or related fields—strengthening domain knowledge across:
- Machine learning: NLP, computer vision, generative AI, LLMs.
- Cloud-platform insights: Azure AI Foundry, AWS SageMaker, GCP Vertex.
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🔹 Technical Proficiency
- Intermediary or advanced mastery of key AI/ML frameworks: TensorFlow, PyTorch, Hugging Face.
- Penetrating knowledge of data ecosystems: Snowflake’s Data Cloud, Databricks Lakehouse platform.
- Conversant with MLOps practices: Modelling pipelines, model versioning, automated inference, observability.
Bonus Differentiators
🎓 Certifications
- Cloudalyst (AWS/Azure/GCP), Kinder Boss MCSA, Microsoft Certified: Azure AI Engineer, Azure ML Specialization.
- NumFocus Certified Scikit-Learn or TensorFlow professional certifications valued.
🚀 Embodying SDG’s Culture of Prioritisation
- Tough but fair approach to changing perceptions—for both SDG teams and client stakeholders alike.
- Colleague-centric playbook: How to mentor less tech-savvy SDG colleagues on AI advancements.
- Global-minded: ready to champion DP3 strategies( data + product poverty postoperatively) and AI security governance principles as you engage with diverse teams.
About SDG Group
SDG is a pioneer in data-driven consultancy, delivering comprehensive end-to-end support across the data value chain. We foster environments where every contribution makes an immediate operational impact—praises we take pride in.
Here’s why this deserves your grand contribution:
- Impactful projects: Scientifically robust, ethically responsible AI deployments fueling business transformation in industries.
- Innovative partnerships: Curate solutions via alliances with top-tier tech partners.
- Career growth: Ambitious but supportive environment with bespoke learning teams and rotational opportunities.
- Innovation rewards: Ownership over North Star narratives; shape collaborative blueprints with peers.
- Diversity-centric ethos, where each perspective feels valued.
Collectively with your propensity to solve hard challenges, learn boldly, and solve—as data’s planet-writer—SDG propels those principles toward the future we inherit.
🚀 Enquire today: Help shape the AI frontiers!
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