67 jobs for “Enterprise Software”
Cohere
Founding Solutions Architect for the Nordics, owning the technical relationship with enterprise and government customers. Leads design and deployment of pilots, maps customer problems to AI solutions, and works with account executives, partners and product teams to drive adoption of LLM technology.
Cohere · Python
Cohere
Build and ship features for North, Cohere's secure AI workspace platform, developing autonomous agents that interact with sensitive enterprise data. Work spans Python and React full-stack code, with stringent deployment constraints that often require reinventing tooling rather than using popular libraries, plus collaboration with researchers to productionize frontier models.
Python · React
Databricks · 1001–5000 people · Late stage
Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep Databricks platform expertise, Python/SQL coding proficiency and a declared technical specialisation.
Databricks · Snowflake · AWS +7
Tenth Revolution Group
Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance and observability, plus secure data services and APIs, with scope to build and lead a wider data function.
AWS
Tenth Revolution Group
Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.
AWS
Databricks · 1001–5000 people · Late stage
Customer-facing pre-sales architect driving adoption of Databricks' AI product line across a local EMEA territory, paired with an Account Executive to design and execute engagement strategies. Leads design and implementation of agentic AI use cases using Agent Framework, AgentBricks and MLflow, and acts as tier-3 escalation for complex field challenges.
Databricks · MLflow · Databricks Agent Framework +7
OpenAI
Owns delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from scoping and planning through launch and adoption. Builds integrated delivery plans, resolves blockers, drives launch readiness and tracks adoption and consumption against agreed outcomes, working closely with account teams, FDEs and partners.
NES Group Ltd
Leads customer intelligence and value measurement across multiple markets, building CLV, RFM segmentation and incrementality models. Reconciles customer, transaction and margin data into defensible value estimates, partnering with Finance on reproducible methodologies. Delivers scalable pipelines using Databricks, Spark/PySpark and Python, with strong data validation and audit practices.
Databricks · Spark · PySpark +4
OpenAI
Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and documented handoff. Works with government agencies, systems integrators and cloud providers on supported OpenAI APIs and Codex, with explicit data, inference and production-readiness boundaries.
OpenAI · Codex · Model APIs
ARM · 11–50 people · Bootstrapped
Lead the architecture, deployment and operation of a large-scale AI/ML platform spanning conventional ML and agentic AI. Own the platform roadmap, MLOps/LLMOps practices, CI/CD and IaC standards, and Azure-based infrastructure, while mentoring engineers and acting as senior escalation point. Hands-on leadership role combining coding with technical strategy and architecture decisions.
Azure · AWS · Terraform +4
eFinancialCareers
Lead a team of data scientists while remaining hands-on, driving AI, NLP and Generative AI initiatives across a global legal services firm. You will build LLM, semantic search, RAG and deep learning solutions, plus scalable Python pipelines for structured and unstructured legal data, partnering with engineering, legal and business teams.
PyTorch · TensorFlow · SpaCy
Anthropic · 51–200 people · Series B
Lead a team of Technical Deployment Leads embedded with strategic enterprise customers across EMEA, owning engagement portfolio health and delivery quality. Player-coach role: hire and manage TDLs, set delivery strategy, run executive relationships and steering committees, and personally lead the most complex engagements from SOW through production deployment. Requires credibility in architecture discussions and depth in enterprise AI/ML delivery.
Claude
ElevenLabs
Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams across Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.
dbt · Python · SQL +2
ElevenLabs
Builds agents that run real parts of the business, working in Marketing Engineering and forward-deployed to growth pods to find problems and own solutions end to end. Uses Python, SQL, LLM APIs and agent orchestration with frontier models, focusing on making agents reliable, measurable and safe enough for the business to depend on.
LLM APIs
