What are the responsibilities and job description for the AI Architect position at TSR Consulting Services, Inc.?
Our client, a leading global financial services company is hiring a AI Architect on a long-term contract basis.
Job ID 83007
Pay is $72-$73/hr W2
Work Location:
Jersey City, NJ 07302- 3 days onsite and 2 days REMOTE.
Local candidates only.
Position Description
We are seeking a visionary AI Architect to lead the design and strategic direction of AI-driven solutions across the Finance technology team. This role is responsible for translating business goals into AI strategies, designing scalable architectures, and guiding cross-functional teams through implementation. The ideal candidate combines deep technical expertise in AI/ML with strong strategic and communication skills.
• Define and drive the AI architecture roadmap in alignment with organizational objectives.
• Design end-to-end AI and machine learning system architectures, including data pipelines, model training/inference environments, and model governance frameworks.
• Evaluate and select appropriate AI technologies, frameworks, and platforms.
• Collaborate with engineers, product teams, and business stakeholders to architect scalable and reusable AI solutions.
• Establish best practices for model lifecycle management, performance monitoring, explain ability, and ethical AI.
• Lead technical assessments of AI initiatives, identifying risks, trade-offs, and performance considerations.
• Stay abreast of emerging AI trends and evaluate their applicability to business challenges.
• Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.
• 5 years of experience in data science, machine learning, or AI engineering, with 4 years in an architectural or leadership role.
• Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (Python, Java, etc.), and cloud AI services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
• Experience with MLOps, data pipelines, and real-time inference systems.
• Solid understanding of data governance, model risk management, and responsible AI principles.
• Proven ability to communicate complex AI concepts to non-technical stakeholders and executive leadership.
Preferred Skills:
• Experience with GenAI (e.g., LLMs, transformers) and prompt engineering.
• Familiarity with Kubernetes, Docker, and cloud-native architecture.
• Background in financial services, healthcare, or other regulated industries.
Salary : $72 - $73
