AI Architect

At Accellor, we are a trusted consulting partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail verticals.

We’ve created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy, and delegation – we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated – focused on building the perfect solution but never losing sight of the bigger picture.

We are looking for a dynamic AI Architect to spearhead our AI initiatives, guiding the integration of artificial intelligence into various aspects of our business. You will design AI systems from the ground up, collaborate with multidisciplinary teams to tailor AI solutions to specific business needs, and ensure these solutions are scalable and sustainable.

Your expertise will help us harness the power of AI to drive innovation, improve decision-making, and maintain competitive advantage in our industry. You will shape and drive the design, development, and implementation of transformative AI solutions. You will lead high-impact projects, conceptualize groundbreaking frameworks, and collaborate with cross-functional teams to deliver unparalleled AI products.

Role And Responsibilities:

• Design, develop, and oversee the implementation of end-to-end AI solutions
• Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization
• Create architectural approaches for AI software and hardware integration
• Define AI solution objectives and ensure alignment with business outcomes
• Monitor AI industry trends and maintain state-of-the-art industry knowledge
• Implement best practices for AI testing, deployment, and maintenance
• Experience working on all aspects of enterprise scale implementation for AI/GenAI solutions including architecture, design, security, infrastructure, MLOps/GenAIOps
• Demonstrate deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.

• Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.

• Deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models.

• Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases

• Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.

• Have problem-solving abilities combined with good communication skills.

• Deploy knowledge of Azure DevOps, YAML, Shell scripting, Terraform, and pipelines.

• Understand how to fine-tune models, quantize models, and deploy models.

• Design integrations between various cloud-based services through APIs, keeping modular designs in mind.

• Apply knowledge of data engineering tools and technologies and understanding of concepts such as big data and data pipelines

• Scope, manage, and drive complex GenAI projects and programs to successful completion.

• Design and implement GenAI frameworks and patterns tailored to client needs.

• Architect and lead the implementation of GenAI use cases, projects, and POCs across multiple industries.

• Work on RAG models and Agents Frameworks to enhance GenAI solutions by incorporating relevant information retrieval mechanisms and frameworks

• Utilize best practices and creativity to address challenges and deliver impactful solutions.

• Conduct market research, formulate perspectives, and communicate insights to clients and stakeholders.

• Establish strong client relationships, gaining insights into project requirements and challenges.

• Communicate complex technical concepts clearly to non-technical audiences.

• Handle data sets of varying complexity, processing massive data streams in distributed computing environments.

• Apply business acumen to analyze data, develop insightful reports, and solve problems.

• Perform ad hoc analyses based on evolving business needs.

• Participate in the analysis and resolution of issues related to information flow and data content.

• Collaborate with data stakeholders to address challenges and enhance data quality.
• Mentor junior data scientists and GenAI engineers, fostering professional growth within the team.
• Conduct training sessions to enhance overall data science skills within the organization.

Requirements

• Experience architecting high-impact GenAI solutions for diverse clients.
• 10+ years of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Generative AI, AI/ML, ML Ops.
• Extensive experience using Python.
• Master’s degree preferred.
• Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.
• Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic.
• Maintains a flexible "can-do" attitude and a commitment to success.
• Professional verbal and written communication.
• Undergraduate or Graduate degree preferred.

Benefits

We strive to offer benefits that support the diverse needs of our employees.

Our package includes perks like flexible and discretionary time off, healthcare coverage for you and your loved ones, and a 401k plan with a company match to help you plan for the future.

Additionally, we offer access to flexible spending and health savings accounts, life and AD&D insurance, and opportunities for professional development.

Originally posted on Himalayas