Senior Machine Learning Architect

Senior Machine Learning Engineer - Job Description

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. As a Senior Machine Learning Engineer, you will play a key role in shaping the future of AI at our organization.

Your primary responsibilities will include architecting, deploying, and evaluating scalable, responsible, and domain-aware ML and LLM systems that power our next generation of digital products.

You will act as a technical leader and architect of AI and agentic systems, defining how these technologies integrate with our engineering platform. Collaborating with Product Architects, Data Engineers, and Product Owners, you will deliver intelligent solutions that enable automation, reasoning, and data-driven decision-making across our digital ecosystem.

Key Responsibilities

• Design and maintain AI and agentic architectures that enable autonomous reasoning, decision support, and knowledge integration across our digital platforms.
• Architect and deliver scalable ML, LLM, and multi-agent systems that integrate structured and unstructured data sources.
• Define design principles, standards, and guardrails to ensure technical excellence, reproducibility, and ethical AI development.
• Lead initiatives that embed intelligent automation and reasoning capabilities into engineering workflows.

Evaluation and Observability

• Design and apply robust evaluation frameworks to measure model and agent performance, transparency, and bias.
• Establish metrics and dashboards to monitor quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes.
• Drive adoption of AI observability practices for continuous improvement and compliance.

MLOps and Orchestration

• Develop and optimize automated training, deployment, and monitoring workflows across environments.
• Integrate orchestration principles for multi-agent and retrieval-augmented (RAG) pipelines into CI/CD processes, ensuring scalable, reliable AI delivery.
• Lead by example in implementing sustainable, cost-efficient, and transparent ML operations.

Collaboration and Mentoring

• Partner with Product Architects, Data Engineers, and Chapter Leads to operationalize AI and agentic architectures in digital products.
• Mentor ML Engineers and Developers, fostering growth in system design, evaluation frameworks, and AI lifecycle management.
• Contribute to global AI capability building through knowledge sharing, reusable frameworks, and cross-Pod collaboration.

Requirements

To be successful in this role, you will need:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Minimum 5 years of experience in machine-learning or AI system development.
• At least 2 years in a senior or lead capacity within agile, cross-functional teams.
• Proven track record developing and deploying LLM-based, agentic, or ML-driven systems at production scale.

Desired Skills and Qualifications

• AI & Agentic Architecture: Experience designing system architectures for agent-based and knowledge-integrated AI applications.
• ML/LLM Engineering: Advanced expertise in model development, orchestration, and lifecycle management.
• Agentic AI & RAG Systems: Experience building multi-agent workflows, reasoning graphs, and retrieval-augmented generation pipelines using modern frameworks such as LangChain, LangGraph, or Semantic Kernel.
• Large Language Models (LLMs): In-depth experience with modern LLMs such as GPT, Claude, Gemini, Llama, Falcon, or Mistral.
• Evaluation & Observability: Skilled in model and agent evaluation, benchmarking, and feedback tracking using enterprise frameworks (e.g., LangFuse, MLflow).
• MLOps & Automation: Experience with model versioning, deployment, and automated CI/CD pipelines in cloud environments.
• Programming & Tools: Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face.
• Cloud & Infrastructure: Experience with Azure, AWS, or GCP; familiarity with containerization (Docker, Kubernetes) a plus.
• Governance: Understanding of Responsible AI principles, model documentation, and enterprise compliance practices.

About Us

We are a global architecture, engineering, and consultancy firm. We believe sustainable change's aim is to create a livable world where people thrive in healthy nature.

Our strength is our employees, and our history is rooted in a clear vision of how a responsible company should act. Openness and curiosity are cornerstones of our corporate culture, fostering an inclusive mindset that seeks new, diverse, and innovative perspectives.

We respect and welcome all forms of diversity and focus on creating an inclusive environment where everyone can thrive and reach their full potential.

Benefits

We offer a competitive salary and benefits package, including:

• A comprehensive health insurance plan.
• A retirement savings plan with employer matching.
• Generous paid time off and holidays.
• A flexible work arrangement policy.
• Ongoing training and professional development opportunities.

What Defines Us

We are a team of curious, optimistic, ambitious, and empathetic individuals who are passionate about making a positive impact.

We value diversity, equity, and inclusion and strive to create an environment where everyone feels welcome, respected, and valued.

We prioritize open communication, collaboration, and mutual support and encourage our employees to take ownership of their work and contribute to the success of the organization.

---