Artificial Intelligence Architect

About the Company

At Agilisum Consulting, were at the forefront of leveraging data and AI to revolutionize the Life science Industry. Our team is passionate about creating scalable, secure, and innovative data solutions to power next-generation applications. Join us to help shape cutting-edge systems that integrate generative AI into data architectures, enabling transformative insights and solutions for our clients and teams.

Key Responsibilities

As a Data Architect with Generative AI expertise, you will:

• Design and implement

  robust data architectures that support AI and machine learning (ML) workloads, including Generative AI applications.
• Develop and optimize

  data pipelines

  for training, validating, and deploying AI models efficiently and securely.

• Integrate AI frameworks

  into data platforms, ensuring scalability, low latency, and high throughput.

• Collaborate

  with data scientists, AI engineers, and stakeholders to align data strategies with business goals.
• Lead initiatives to ensure

  data governance

  , security, and compliance standards (e.g., GDPR, CCPA) are met in AI-driven environments.

• Prototype and implement

  architectures that utilize generative models (e.g., GPT, Stable Diffusion) to enhance business processes.
• Stay up to date with the latest trends in Generative AI, data engineering, and cloud technologies to recommend and integrate innovations.

Required Qualifications

We’re looking for someone with:

• A

  bachelor’s degree

  in Computer Science, Data Engineering, or a related field (master’s preferred).

• 5+ years

  of experience in data architecture, with a focus on AI/ML-enabled systems.
• Hands-on experience with

  Generative AI models

  (e.g., OpenAI GPT, BERT, or similar), including fine-tuning and deployment.
• Proficiency in

  data engineering tools and frameworks

  , such as Apache Spark, Hadoop, and Kafka.
• Deep knowledge of

  database systems

  (SQL, NoSQL) and

  cloud platforms

  (AWS, Azure, GCP), including their AI/ML services (e.g., AWS Sagemaker, Azure ML, GCP Vertex AI).
• Strong understanding of

  data governance

  ,

  MLOps

  , and

  AI model lifecycle management

  .
• Experience with programming languages such as

  Python

  or

  R

  and frameworks like

  TensorFlow

  or

  PyTorch

  .
• Excellent problem-solving and

  communication skills

  , with a demonstrated ability to lead cross-functional teams.

Preferred Skills

• Familiarity with

  LLM fine-tuning

  ,

  prompt engineering

  , and

  embedding models

  .
• Strong domain expertise in Life Science Industry
• Experience integrating generative AI solutions into production-level applications.
• Knowledge of

  vector databases

  (e.g., Pinecone, Weaviate) for storing and retrieving embeddings.
• Expertise in

  APIs for AI models

  , such as OpenAI API or Hugging Face Transformers.