Senior Generative AI Architect/Developer
$70.23 per hourBCforward
Job Title: Senior Generative AI Architect/Developer Location: Charlotte, NC | Kennesaw, GA | Richmond, VA - Onsite Required Duration: Contract - 12 months Pay Range: $70.23/hr (W2) Job ID: 373966 About BCforward 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. Job Description We are seeking a Senior Architect / Senior Developer to join our dynamic team on the ENACT Modernization project. The ideal candidate will have strong experience in designing and delivering Generative AI solutions on cloud platforms and a proven ability to build, fine-tune, and deploy large language model solutions using Python . Responsibilities:
- Architect and implement GenAI solutions using open-source and proprietary LLMs.
- Design and execute fine-tuning pipelines for LLMs using custom datasets.
- Develop Retrieval Augmented Generation patterns and scalable inference services.
- Build and integrate APIs for model serving using REST, FastAPI, or Flask.
- Apply classical ML and deep learning methods to NLP tasks and evaluations.
- Deploy applications and models to platforms such as Azure ML, Streamlit, or Hugging Face Spaces.
- Collaborate in Agile teams and contribute to solution design, code reviews, and documentation.
- Proven hands-on GenAI project experience with open-source LLMs (Llama, Gemma, Mistral, GPT OSS) and proprietary APIs (OpenAI, Anthropic).
- Experience fine-tuning LLMs such as Llama 2 and GPT-4 for task-specific outcomes with custom datasets.
- Prompt engineering expertise with GPT-4, GPT-3, Llama 2, and Gemini Pro.
- Strong Python skills with Pandas, NumPy, Scikit-learn; experience with PyTorch and Hugging Face.
- Background in Retrieval Augmented Generation and vector search (FAISS, ElasticSearch).
- Experience with NLP techniques, including embeddings (Word2Vec, GloVe, FastText, Universal Sentence Encoder), topic modeling (LSA), and deep learning for NLP.
- Knowledge of ML models such as SVM, Logistic Regression, Random Forest, Naive Bayes, and Neural Networks.
- Experience deploying models and apps to Azure ML and platforms like Streamlit, Hugging Face Spaces, or Heroku.
- API development experience with REST, FastAPI, or Flask for serving models.
- Familiarity with discourse-level NLP concepts and tools is a plus (DRT/DRS, Boxer, Neural DRS, JAMR).
- Cloud familiarity with AWS, Azure, or GCP; hands-on Azure ML preferred.
- Experience working within Agile methodologies with strong problem-solving and communication skills.
- Experience with SQL and related data tools.
- Familiarity with Horizon toolset and change management practices.
- Knowledge of agentic AI frameworks and orchestration.
- 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
Vacancy posted 1 day ago
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