GenAI Architect/Developer

• Architect and develop GenAI solutions leveraging open-source and proprietary LLMs.
• Design and implement fine-tuning and prompt engineering strategies for LLMs.
• Build Retrieval Augmented Generation pipelines and scalable NLP services.
• Develop APIs and deploy ML models to cloud and application platforms.

We are seeking a Senior Architect to join our dynamic team on the ENACT Modernization project. The ideal candidate will have strong experience in Python, Azure ML, Generative AI, and data science and a proven ability to design, develop, and deploy GenAI solutions end to end., * Proven hands-on experience implementing GenAI projects using open-source LLMs (Llama, GPT OSS, Gemma, Mistral) and proprietary APIs (OpenAI, Anthropic).

• Experience fine-tuning models such as LLaMA2 and GPT-4 with custom datasets for varied tasks.
• Expertise in prompt engineering for GPT-4, GPT-3, LLaMA2, and Gemini Pro.
• Strong Python development skills, including Pandas and NumPy for data analysis and feature engineering.
• Strong background in Retrieval Augmented Generation implementations and vector search.
• Expertise in machine learning models such as SVM, Logistic Regression, Random Forest, Naive Bayes, and Neural Networks.
• Extensive NLP experience: embeddings (Word2Vec, GloVe, FastText, Universal Sentence Encoder, contextual embeddings), topic modeling (LSA), and search (FAISS, Elasticsearch).
• Deep learning for NLP with libraries such as PyTorch and Hugging Face.
• Proficiency with Scikit-learn, Pandas, NumPy, NetworkX, and NLTK.
• Experience deploying ML models to Streamlit, Hugging Face Spaces, or Heroku.
• Experience building and integrating APIs using REST, FastAPI, or Flask to serve models.
• Knowledge of agentic AI frameworks and orchestration patterns.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, with preference for Azure ML.
• Experience working in Agile environments with strong problem-solving and communication skills.

Preferred Skills:

• Fine-tuning and optimization of open-source LLMs or small language models.
• Experience with discourse semantics, anaphora resolution, DRT/DRS, and tools such as Boxer, Neural DRS, or JAMR.
• Experience with SQL and related data tools.
• Familiarity with Horizon toolset and change management practices.

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.