Innovative IT Solutions Inc
AI Architect (Strategic AI Solutions & Thought Leadership)
Innovative IT Solutions Inc, Trenton, New Jersey, United States
Job Title: AI Architect (Strategic AI Solutions & Thought Leadership)
Location: Jersey City, NJ/San Francisco, CA/Boston, MA (Onsite)
Type: Full Time
Client: Agilisium
Pay Rate: $180K
Note:
Any visa is fine & H1 transfer is ok
Life Sciences domain experience at least in one project is preferred
Job Summary: We are seeking a visionary
AI Architect
to lead the design, development, and evangelism of cutting‑edge AI solutions. This role blends
technical depth
with
client‑facing leadership , driving AI strategy, pre‑sales efforts, PoCs, and AI innovation initiatives. The ideal candidate is a seasoned AI professional who combines
architectural expertise ,
thought leadership , and the ability to translate complex AI capabilities into real‑world business impact for clients.
Key Responsibilities: AI Strategy & Thought Leadership
Act as a thought leader in AI/ML representing the organization at industry forums, client workshops, and strategic events.
Collaborate with leadership to shape the AI vision and roadmap aligned to business and market needs.
Stay ahead of emerging AI trends (GenAI, LLMs, Computer Vision, NLP, MLOps) and bring innovative ideas to the table.
Client Engagement & Advisory
Serve as a trusted advisor to C‑level clients, understanding their business challenges and recommending AI‑powered solutions.
Lead client workshops, discovery sessions, and strategy engagements to articulate AI value propositions.
Build strategic relationships with key enterprise clients and influence AI adoption across business lines.
AI Solution Architecture
Architect scalable and production‑grade AI solutions across supervised/unsupervised learning, NLP, CV, and Generative AI.
Design end‑to‑end AI solution architectures data ingestion, model development, MLOps, deployment, and monitoring.
Define solution blueprints, technology stack, and reference architectures tailored to client needs.
Pre‑Sales & Solutioning
Partner with sales and delivery teams to craft compelling AI proposals and presentations.
Lead technical solutioning, estimation, and responses for RFPs/RFIs and client bids.
Translate business problems into technical solutions, articulating ROI and competitive differentiation.
PoC Development & Innovation
Drive rapid development of AI Proof‑of‑Concepts and pilot solutions to demonstrate feasibility and business impact.
Lead agile cross‑functional teams (data scientists, engineers, SMEs) to deliver high‑quality prototypes.
Enable reuse of AI components and accelerators across engagements.
Mentorship & Collaboration
Mentor internal teams (data scientists, engineers) on AI best practices and career growth.
Collaborate with product, engineering, and domain teams to scale AI across platforms and services.
Required Skills & Experience: Technical Expertise
Strong foundation in AI/ML algorithms, deep learning, NLP, computer vision, and LLMs (e.g., GPT, BERT, T5).
Experience in deploying models using cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes).
Proficiency in Python, TensorFlow/PyTorch, Scikit‑learn, LangChain, Hugging Face, or equivalent frameworks.
Understanding of MLOps, CI/CD for ML, model monitoring, and governance.
Strategic & Client‑Facing Skills
Proven experience in client consulting, pre‑sales, or solutioning roles in AI services or platforms.
Excellent communication and storytelling skills with the ability to influence stakeholders at various levels.
Experience working across verticals such as Healthcare, BFSI, Retail, Manufacturing, or
Life Sciences is a plus.
#J-18808-Ljbffr
Any visa is fine & H1 transfer is ok
Life Sciences domain experience at least in one project is preferred
Job Summary: We are seeking a visionary
AI Architect
to lead the design, development, and evangelism of cutting‑edge AI solutions. This role blends
technical depth
with
client‑facing leadership , driving AI strategy, pre‑sales efforts, PoCs, and AI innovation initiatives. The ideal candidate is a seasoned AI professional who combines
architectural expertise ,
thought leadership , and the ability to translate complex AI capabilities into real‑world business impact for clients.
Key Responsibilities: AI Strategy & Thought Leadership
Act as a thought leader in AI/ML representing the organization at industry forums, client workshops, and strategic events.
Collaborate with leadership to shape the AI vision and roadmap aligned to business and market needs.
Stay ahead of emerging AI trends (GenAI, LLMs, Computer Vision, NLP, MLOps) and bring innovative ideas to the table.
Client Engagement & Advisory
Serve as a trusted advisor to C‑level clients, understanding their business challenges and recommending AI‑powered solutions.
Lead client workshops, discovery sessions, and strategy engagements to articulate AI value propositions.
Build strategic relationships with key enterprise clients and influence AI adoption across business lines.
AI Solution Architecture
Architect scalable and production‑grade AI solutions across supervised/unsupervised learning, NLP, CV, and Generative AI.
Design end‑to‑end AI solution architectures data ingestion, model development, MLOps, deployment, and monitoring.
Define solution blueprints, technology stack, and reference architectures tailored to client needs.
Pre‑Sales & Solutioning
Partner with sales and delivery teams to craft compelling AI proposals and presentations.
Lead technical solutioning, estimation, and responses for RFPs/RFIs and client bids.
Translate business problems into technical solutions, articulating ROI and competitive differentiation.
PoC Development & Innovation
Drive rapid development of AI Proof‑of‑Concepts and pilot solutions to demonstrate feasibility and business impact.
Lead agile cross‑functional teams (data scientists, engineers, SMEs) to deliver high‑quality prototypes.
Enable reuse of AI components and accelerators across engagements.
Mentorship & Collaboration
Mentor internal teams (data scientists, engineers) on AI best practices and career growth.
Collaborate with product, engineering, and domain teams to scale AI across platforms and services.
Required Skills & Experience: Technical Expertise
Strong foundation in AI/ML algorithms, deep learning, NLP, computer vision, and LLMs (e.g., GPT, BERT, T5).
Experience in deploying models using cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes).
Proficiency in Python, TensorFlow/PyTorch, Scikit‑learn, LangChain, Hugging Face, or equivalent frameworks.
Understanding of MLOps, CI/CD for ML, model monitoring, and governance.
Strategic & Client‑Facing Skills
Proven experience in client consulting, pre‑sales, or solutioning roles in AI services or platforms.
Excellent communication and storytelling skills with the ability to influence stakeholders at various levels.
Experience working across verticals such as Healthcare, BFSI, Retail, Manufacturing, or
Life Sciences is a plus.
#J-18808-Ljbffr