AI Solutions Architect in the USA

Andersen, an international IT company, is looking for an 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 in the USA to join its team on high-impact, enterprise-level projects. 

Andersen is a pre-IPO global software development company with over 17 years of experience delivering full-cycle IT services. We specialize in helping enterprises and fast-growing mid-sized businesses accelerate their digital transformation through modern, scalable, and secure software solutions.  

Our company operates across a global network of 16+ development centers and offices, strategically located in North America, Western and Central Europe, the Middle East, and the Asia-Pacific region. With a strong team of over 3,700 highly skilled professionals, we combine deep domain expertise and advanced technical capabilities to consistently deliver exceptional results for our U.S.-based clients. 

Responsibilities: 

- 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. 

Must-have: 

- 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. 

Reasons why this job would be interesting to you: 

- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. 

- The opportunity to change the project and/or develop expertise in an interesting business domain. 

- Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant. 

- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. 

- The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. 

- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. 

- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). 

- Certification compensation (AWS, PMP, etc). 

- Referral program. 

- English courses. 

- Private health insurance and compensation for sports activities. 

Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy 

Join us!   

https://people.andersenlab.com/