Job Description

Highlights

Experience

6+ Years

Joining Date
Immediate or max 30 days' Notice Period


Qualification
Master's degree in Data Science, Statistics or a related field (applicants with a Bachelor's degree and relevant work experience can also apply)

We are looking for an AI Architect to join our team.

Responsibilities

+ Design Enterprise AI Solutions: Architect scalable, secure, and high-performance AI solutions tailored to business needs across industries.
+ Define AI Strategy & Roadmaps: Collaborate with leadership to align AI initiatives with organizational objectives, ensuring maximum business impact.
+ End-to-End Solution Architecture: Lead design of AI platforms, data pipelines, and integration frameworks across cloud/on-premise environments.
+ Guide AI Implementation: Partner with engineering and data science teams to ensure best practices in model deployment, monitoring, and lifecycle management.
+ Evaluate Emerging Technologies: Assess AI tools, frameworks, and platforms to recommend optimal technology stacks and architectural approaches.
+ Ensure Compliance & Security: Incorporate governance, ethical AI, and data privacy considerations into solution designs.
+ Stakeholder Communication: Translate complex AI concepts into business outcomes for both technical and non-technical stakeholders.

Key Skills Requirements

+ Proven experience (6+ years) in AI/ML solution design, architecture, and deployment.
+ Prior experience designing and deploying AI-driven solutions at scale.
+ Strong foundation in machine learning frameworks (TensorFlow, PyTorch, Hugging Face).
+ Knowledge of APIs, microservices, and system integration patterns.
+ Experience working with distributed data systems, vector databases, and retrieval-augmented generation (RAG).
+ Expertise with LLMs, generative AI, and AI integration into enterprise systems.
+ Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerized deployments (Kubernetes, Docker).
+ Hands-on proficiency in data engineering, ML model pipelines, and MLOps practices.
+ Familiarity with AI governance, security frameworks, and ethical AI practices.
+ Excellent communication and stakeholder management skills.

Perks: Careers at Beinex

Comprehensive Health Plans


Learning and development


Workation and outdoor training


Hybrid working environment


On-site travel Opportunity


Beinex Branded Merchandise