TL;DR
Senior Technical Presales Solutions Architect (DS/ML/GenAI/LLM): Developing customer engagement strategies and architecting end-to-end Data & AI solutions with an accent on modern Generative AI concepts (fine-tuning, RAG, MLOps for LLMs). Focus on designing and delivering complex proofs-of-concept and acting as a trusted advisor for data analytics architecture and design using the hirify.global Lakehouse platform.
Location: London, United Kingdom. Ability to commute to the London office regularly. Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits.
Company
hirify.global is a data and AI company providing a unified platform for data science and analytics to over 10,000 organizations worldwide, including over 50% of the Fortune 500.
What you will do
- Develop customer engagement strategies in partnership with Account Executive(s) and coach junior Solutions Architects.
- Influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and third-party applications.
- Operate as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the hirify.global Lakehouse platform.
- Architect end-to-end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs).
- Design and deliver complex proofs-of-concept (PoCs).
- Contribute to hirify.global' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
Requirements
- Ability to commute to the London office regularly and travel approximately 20-30% of the time across UK&I and EMEA.
- Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science (Machine Learning, Deep Learning, AI, or Generative AI).
- Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs).
- Strong proficiency in Python and SQL, with a willingness to learn (or existing knowledge of) Spark, and proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).
- Proven ability to engage with customers in a technical sales capacity, guide discussions, and communicate both technical and business value propositions.
- Demonstrated experience in coaching and mentoring junior team members to help them develop technical and customer-facing skills.
Culture & Benefits
- A culture of proactiveness and a customer-centric mindset guiding the creation of a unified data science and analytics platform.
- Work with a collaborative, customer-focused team that values innovation and creativity.
- Opportunity to continue your development in one of four tracks: technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.
- Comprehensive benefits and perks that meet the needs of all employees.
- Commitment to fostering a diverse and inclusive culture where everyone can excel.
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