Job Description

We are seeking a highly skilled and experienced

AI Solutions Architect

with expertise in Generative AI, Large Language Models (LLMs), and cloud-based deployments. This role is ideal for someone with a strong technical background, hands-on experience in building AI-driven solutions, and the ability to translate cutting-edge research into scalable, real-world applications.

Key Responsibilities:

Design and implement

Generative AI solutions

leveraging AWS services such as S3, Redshift, and Snowflake. Contribute to the development, fine-tuning, and application of

Large Language Models (LLMs)

and Generative AI frameworks. Explore and apply emerging advancements in LLMs and generative AI to practical client use cases. Communicate complex technical concepts and insights effectively to non-technical stakeholders. Collaborate with cross-functional teams to integrate AI solutions into existing workflows and platforms. Optimize and fine-tune generative models for scalability, efficiency, and performance. Troubleshoot, monitor, and maintain deployed AI/ML models. Develop prototypes in partnership with IT practitioners and client stakeholders. Evaluate and recommend tools, frameworks, and technologies to ensure efficient delivery of high-quality solutions. Support leadership with building/upgrading reference architectures and enhancing service offerings. Lead training initiatives to mentor teams and develop next-generation technical expertise.

Required Skills & Qualifications:

3+ years

of experience in building AI solutions with

Databricks

(certification preferred). Experience with

Generative AI frameworks

(e.g., LlamaIndex, LangChain). Familiarity with

AI models from OpenAI, Google, or open-source alternatives

(Llama, Claude, Hugging Face).

5+ years of programming experience

with Python and SQL. Strong knowledge of

data storage systems

(RDBMS, NoSQL). Expertise in AWS (minimum 2-3 years); exposure to

Azure

is a plus. Solid understanding of

neural network architectures

(GANs, Transformers). Experience with

TensorFlow, PyTorch, and Keras

for model design, training, and validation. Familiarity with

MLOps/LLMOps pipelines

, CI/CD solutions, and IaC tools (Terraform, Biceps). Strong background in

data preprocessing and feature engineering

. Hands-on experience deploying ML models using native or third-party MLOps platforms. Knowledge of

NLP/LLM applications

in specific domains or industries. Strong communication, problem-solving, and presentation skills.

Preferred Qualifications:

Experience designing

end-to-end ML/AI pipelines

for enterprise-scale systems. Familiarity with

AI standards and compliance frameworks

. Proven ability to work in

ambiguous or fast-changing environments

. Experience influencing business decisions through data-driven AI recommendations.

Experience:

8-10+ Years (AI/ML, with at least 3 years in Generative AI solutions)

Job Type:

Full-time

Email:

careers@aloola.io

Job Location:

Remote
Job Type: Full-time

Work Location: In person