Top Tech Jobs & Startup Jobs

Lead client-facing data and AI consulting engagements through discovery, advanced analysis, strategic recommendations, presentations, and project coordination. Use AI tools and agentic coding platforms to build prototypes, automations, and analyses. Apply GenAI concepts, develop expertise in major AI ecosystems, support proposals and thought leadership, and mentor junior consultants and interns.

Manages AI and data consulting projects, including planning, delivery, quality, client relationships, and team development. Translates client needs into strategic recommendations, prototypes solutions with AI coding tools, and applies concepts such as RAG, semantic layers, MCP, and context engineering. Coaches consultants in AI-native workflows, supports executive communications, contributes to proposals and business development, and helps expand client engagements.

Leads Artefact’s US AI and data consulting practice by advising C-level clients, winning engagements, shaping transformation strategies, and delivering production-grade AI solutions. The role manages multidisciplinary teams, develops consultants, prototypes with agentic coding tools, guides clients from GenAI pilots to governed adoption, builds platform expertise, contributes to thought leadership, and grows the commercial pipeline and client portfolio.

Build and deploy full-stack AI applications, including React interfaces, Python or Node.js services, agentic workflows, RAG pipelines, data integrations, evaluations, and cloud infrastructure. Ensure production reliability through testing, monitoring, CI/CD, observability, and infrastructure as code. Work directly with clients, support pre-sales, mentor junior engineers, and contribute to reusable engineering accelerators.

Lead marketing measurement and effectiveness programs using marketing mix modeling, incrementality testing, attribution, causal inference, experimentation, and optimization. Own statistical methodology, production deployment, GenAI applications, client relationships, executive communication, team development, and account growth. Translate models into budget and media decisions, build reusable measurement accelerators, uphold scientific rigor, and remain hands-on with technical problem-solving, MLOps, cloud industrialization, and model review.

Lead design and delivery of end-to-end AI/ML solutions: define architectures, run PoCs and pilots (LLMs/GenAI, RAG, fine-tuning), build and deploy models, implement MLOps/LLMOps on cloud platforms, enforce security and governance, advise clients, mentor teams, and support pre-sales and thought leadership.

Manage end-to-end staffing: align consultants to projects, monitor capacity and utilization, maintain resource data and systems, produce resource metrics, partner with recruiting and finance for workforce planning, and improve staffing processes to support consultant development and business goals.

Full-cycle talent acquisition contract role owning intake through offer and onboarding for consulting and technical roles. Source proactively, screen candidates, manage interviews, partner with hiring managers, maintain pipelines and recruiting data, and improve recruiting processes and reporting.

Build end-to-end, production-grade AI applications using Gemini Enterprise and the Google AI stack. Implement agentic systems, RAG pipelines, retrieval and data integrations, front-end interfaces, backend services, deployments, and monitoring. Work embedded with clients, translate requirements into technical solutions, write evaluations and tests, and mentor junior engineers while contributing to reusable accelerators and pre-sales efforts.

Serve as a client-facing data consultant delivering advanced analytics, strategic data recommendations, and business proposals. Define client needs, perform research and analysis, ensure successful project delivery, and mentor junior team members while contributing to content and business development for the US office.