AI Solutions Architect Job at Andersen

Job Description

Andersen is hiring an AI Solutions Architect in Mexico for a project designing AI-driven applications, intelligent automation solutions, and next-generation digital products.

Job Responsibility

Leading AI-solutions opportunities from the very first contact until established development project
Making quick opportunity qualification assessment together with the pre-sale managers, including a very high-level estimate, what can be strong in our proposition against competition and what key risks are there to mitigate
Building customer trust and Andersen delivery certainty with your domain expertise, creative ideas to solve client's business needs
Minimizing upfront customer costs and project risks by helping to focus on the most valuable requirements and using existing customer environment and relevant 3d party and community projects or SaaS
Specifying these into solid Solutions Architecture
Presenting the final result to both the client's executive and technical representatives
Structuring detailed estimates for the project and enabling technical experts to produce a meaningful estimate
Controlling and challenging their results, defining complexity drivers and optimizing our offering through reasonable and pragmatic assumptions
Being a key IT consultant in AI Solutions architecture for the company's clients. Being able to clearly and intelligently maintain relationships at the C level on client side, quickly understand the current situation and provide knowledgeable and confirmed experience recommendations back to the client
Maintaining relationships with all levels within the client's organization and eventually generating sales leads
Creating marketing (technical) materials to support pre-sales activities with the help of designers and copywriters

Requirements

Overall Solutions Architecture experience for 5+ years, including 3+ years specifically focused on Data and AI solutions
Hands-on experience working in large enterprise environments in the role of Solution Architect or Enterprise Architect
Proficiency in Python and well-versed in libraries and community-driven projects within the AI space
Experience in using tools like AWS Bedrock (or similar) to experiment with ideas or explain concepts to stakeholders
Practical experience with machine learning and AI tooling such as TensorFlow or PyTorch
Experience building at least one RAG (Retrieval-Augmented Generation) solution with advanced chunking, retrieval, and observability
Theoretical knowledge about AI Agents and Agentic AI
Strong analytical and architecture design skills
Experience working across different environments, including self-managed community-based projects, vendor solutions, and public cloud managed services (at least one of AWS, Azure, or GCP)
Solid experience with AI/ML solution domains including predictive analytics, classification systems, recommendation engines, NLP, Generative AI, and LLMs
Familiarity with LLMs (Large Language Models) and VLMs (Vision-Language Models), including training, fine-tuning, and model serving via tools like Ollama, vLLM, or Hugging Face
Awareness and understanding of model observability, having explored tools such as MLflow, Kubeflow, Arize AI, Opik, Langfuse, or LangSmith
Conceptual understanding of machine learning theory through formal education or certified online programs
Level of English – from Intermediate+

Nice to have

Experience in complex enterprise settings for 3+ years
Senior-level Data & AI certifications from major cloud providers (AWS, Azure, GCP) or other well-known platforms (e.g., Snowflake, Databricks)
Experience working with LangChain, LlamaIndex, Pandas, NumPy, scikit-learn, Pydantic, and FastAPI/Flask
Practical skills and experience in Computer Vision, Deep Learning, or other Data Science applications of ML
Demonstrated experience in MLOps practices and tooling
Proven track record managing custom model development and fine-tuning projects, with ownership of performance KPIs
Familiarity with ML in embedded and edge environments
Experience with major public PaaS and IaaS platforms, and the ability to compare and evaluate private vs public infrastructure setups
Work experience in AI-focused startups
Consulting experience and/or implementation of TOGAF, COBIT, or similar Enterprise Architecture frameworks in large-scale environments

What we offer

Mentoring and adaptation systems for new employees
Transparent performance review and assessment systems
Access to the best educational platforms, seminars, and practices
Extensive benefits package
Possibility to improve as a specialist or a manager

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