Senior AI Solutions Architect

About the Role:

We are seeking an experienced and passionate AI Solutions Architect to join our team. This role focuses on collaborating with clients to design and architect cutting-edge AI-driven solutions, with a specific emphasis on leveraging large language models (LLMs) like ChatGPT, Claude, Llama, and Gemini. This is a highly consultative and strategic role, ideal for technologists with a deep understanding of AI technologies and the ability to align them with clients' business objectives.

As an AI Solutions Architect, you will serve as a fractional resource for companies that need high-level AI expertise but do not require a full-time in-house specialist. You will guide software development teams, design AI integrations, and provide actionable recommendations to deliver innovative solutions tailored to client needs.

Key Responsibilities:

• Collaborate with clients to understand their business objectives and challenges.
• Design and architect AI-driven solutions that integrate directly with large language models and other AI technologies.
• Advise clients on the latest advancements in AI, including new models, capabilities, and use cases.
• Provide guidance on integrating AI into client software applications (e.g., SaaS platforms), ensuring seamless functionality and alignment with client goals.
• Assist clients in exploring AI capabilities, such as creating conversational AI assistants or dynamic, interactive tools for end-users.
• Stay updated on the rapidly evolving AI landscape, including trends, technologies, and best practices.
• Act as a fractional AI expert, offering ongoing support and strategic insights on an as-needed basis.
• Collaborate with internal and external software development teams, ensuring that architectural recommendations are feasible and efficient.

Required Skills and Experience:

AI and Language Model Expertise:

• Strong understanding of Large Language Models (LLMs) and Small Language Models (SLMs), including public and private deployment scenarios.
• Experience working with proprietary and open-source AI platforms (e.g., OpenAI, Anthropic, Google’s Gemini, Hugging Face).
• Proficiency in advising clients on when to leverage provider APIs vs. deploying private or localized models to meet specific needs.

Training, Fine-Tuning, and Model Optimization:

• Knowledge of LLM training processes, including dataset preparation, model selection, and training pipeline setup.
• Experience with fine-tuning models for domain-specific applications and aligning models with business needs.
• Familiarity with advanced optimization techniques, such as Reinforcement Learning from Human Feedback (RLHF), to enhance model performance.

API Proficiency and Integration:

• Hands-on experience with AI-related APIs (e.g., ChatGPT API, Claude API) to implement chat completions, embeddings, and other functionalities.
• Ability to optimize API usage for latency, cost-efficiency, and scalability while adhering to security best practices.

Deployment and Scaling:

• Expertise in deploying AI solutions in cloud-based and on-premises environments, ensuring compliance with data privacy and security standards.
• Familiarity with containerized deployments using tools like Docker or Kubernetes for private models.

Model Evaluation and Iteration:

• Proficient in using evaluation tools to measure model performance, accuracy, bias, and effectiveness.
• Experience in running batch evaluations and iterating on configurations to meet performance objectives.

AI Infrastructure and Workflow Design:

• Ability to design AI architectures that integrate directly into workflows, bypassing middleware layers when necessary.
• Expertise in building real-time and asynchronous applications leveraging LLMs (e.g., chatbots, virtual assistants).

Automation and Innovation:

• Familiarity with automation tools and workflow optimization, including data pipelines and API-driven integrations.
• Ability to embed external knowledge into models using vectorization techniques and prompt engineering.

Software Development and Critical Thinking:

• Strong understanding of software development principles to guide integration and architectural decisions. Hands-on coding is not required but a strong plus.
• Ability to analyze complex client requirements and translate them into practical AI-driven solutions.

Consultative Approach and Communication Skills:

• Skilled in working closely with clients to understand their business needs and deliver tailored AI recommendations.
• Excellent verbal and written communication skills to explain technical concepts to non-technical stakeholders and software development teams.

Passion for AI and Continuous Learning:

• Demonstrated enthusiasm for staying at the forefront of AI advancements and emerging technologies.
• Active engagement with the AI community (e.g., forums, conferences, and experimentation).

Preferred Qualifications:

• Experience designing conversational AI solutions or similar applications.
• Familiarity with SaaS platforms and their integration with AI.
• Strong understanding of data management and querying systems to support AI workflows.
• Previous experience in a fractional or consultative role.

Why Join Us?

This is an opportunity to work on the cutting edge of AI technology, collaborating with forward-thinking clients across industries. You will play a pivotal role in shaping AI solutions that directly impact businesses and their customers. If you are a critical thinker, a technology enthusiast, and a visionary in the AI space, we want to hear from you.