Responsibilities
- Design comprehensive AI/ML system architectures covering data workflows, model development, deployment, and operational pipelines for generative AI, agentic systems, and MLOps.
- Act as a trusted advisor to clients, leading technical discussions, proposing AI solutions, and representing the firm in high-impact engagements to deliver measurable business outcomes.
- Create scalable, cloud-based AI solutions using native services on platforms such as Azure ML, AWS Sage游戏副本amer, or GCP Vertex AI.
- Lead the incorporation of generative AI capabilities into enterprise software through integration of large language models via public APIs or open-source alternatives like Llama.
- Develop retrieval-augmented generation (RAG) pipelines using vector databases including Pinecone, Weaviate, or FAISS for enhanced context-aware applications.
- Provide technical leadership on MLOps practices including continuous integration, model tracking, performance monitoring, and automated retraining workflows.
- Assess in-house development versus third-party solutions and conduct performance evaluations of AI platforms and tools.
- Analyze emerging trends in artificial intelligence, machine learning, and generative models to guide technology adoption and innovation strategies.
- Coach and mentor engineering teams and solution architects in best practices and technical execution.
- Promote responsible AI by implementing safeguards for bias detection, model transparency, and governance compliance.
- Serve as a technical authority, offering expertise and development support to less experienced team members to elevate organizational capability.
- Partner with executive leadership to ensure machine learning initiatives support broader business goals.
- Present at industry events, conferences, and technical workshops to showcase thought leadership.
- Foster collaboration across disciplines to discover and implement machine learning applications for complex business problems.
Work Arrangement
Remote (Worldwide) — North America, Europe, Latin America, Asia
Team
Global team with daily use of English
Flexible work environment
Office, home, or blended work options available.
Remote-first approach
Interviews, hiring, and onboarding are designed for remote participation.
Global team with daily use of English
Team members collaborate across regions with English as the primary working language.
Annual cycle includes a trimester focused on wellbeing
Features fitness offerings, mental health plans (subject to country availability), and generous leave policies.
Equal opportunity employer
Upholds values of Intrinsic Dignity and Open Collaboration in all employment practices.
Professional services model
Enables accelerated career growth through diverse projects, service areas, and industry exposure.
