Birlasoft
Sales Architect / Technical Sales – Pharma & Advanced Analytics / GenAI
Location:
New Jersey, USA |
Employment Type:
Full-Time
Role Overview We are urgently seeking a high-impact
Sales Architect / Technical Sales
with a strong technical foundation in
Advanced Analytics, AI/ML, and Generative AI , combined with deep domain expertise in
Pharmaceuticals and Life Sciences . This role focuses on driving strategic growth, solutioning, and client engagement—not traditional sales. The ideal candidate will come from top‑tier firms, bring a consultative mindset, technical credibility, and a proven ability to build trusted relationships with pharma clients.
Key Responsibilities
Own and grow strategic client relationships within the pharmaceutical and life sciences sector.
Lead solutioning conversations around AI/ML, GenAI, and advanced analytics platforms tailored to pharma use cases (e.g., drug discovery, clinical trials, commercial analytics).
Collaborate with delivery, product, and innovation teams to craft compelling proposals and architectures.
Drive pipeline generation through thought leadership, client workshops, and executive-level engagement.
Translate complex technical capabilities into business value for pharma stakeholders.
Stay ahead of emerging trends in GenAI, real-world evidence, digital therapeutics, and regulatory tech.
Ideal Candidate Profile
12+ years of experience in Pharma/Life Sciences with a strong technology focus.
Proven track record in technical sales, solution architecture, or client partner roles.
Deep understanding of pharma value chain: R&D, clinical, regulatory, and commercial.
Hands‑on experience with AI/ML platforms, GenAI tools, and cloud ecosystems (Azure, GCP, AWS).
Strong consultative selling skills with ability to influence C‑suite stakeholders.
Background in top‑tier tech or consulting firms (Microsoft, GCP, Accenture, Avanade, etc.).
Excellent communication, storytelling, and executive presence.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Life Sciences, or related field.
Certifications in cloud platforms (Azure, GCP, AWS) or AI/ML frameworks.
Experience with platforms like OpenAI, Vertex AI, Azure ML, or similar.
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Location:
New Jersey, USA |
Employment Type:
Full-Time
Role Overview We are urgently seeking a high-impact
Sales Architect / Technical Sales
with a strong technical foundation in
Advanced Analytics, AI/ML, and Generative AI , combined with deep domain expertise in
Pharmaceuticals and Life Sciences . This role focuses on driving strategic growth, solutioning, and client engagement—not traditional sales. The ideal candidate will come from top‑tier firms, bring a consultative mindset, technical credibility, and a proven ability to build trusted relationships with pharma clients.
Key Responsibilities
Own and grow strategic client relationships within the pharmaceutical and life sciences sector.
Lead solutioning conversations around AI/ML, GenAI, and advanced analytics platforms tailored to pharma use cases (e.g., drug discovery, clinical trials, commercial analytics).
Collaborate with delivery, product, and innovation teams to craft compelling proposals and architectures.
Drive pipeline generation through thought leadership, client workshops, and executive-level engagement.
Translate complex technical capabilities into business value for pharma stakeholders.
Stay ahead of emerging trends in GenAI, real-world evidence, digital therapeutics, and regulatory tech.
Ideal Candidate Profile
12+ years of experience in Pharma/Life Sciences with a strong technology focus.
Proven track record in technical sales, solution architecture, or client partner roles.
Deep understanding of pharma value chain: R&D, clinical, regulatory, and commercial.
Hands‑on experience with AI/ML platforms, GenAI tools, and cloud ecosystems (Azure, GCP, AWS).
Strong consultative selling skills with ability to influence C‑suite stakeholders.
Background in top‑tier tech or consulting firms (Microsoft, GCP, Accenture, Avanade, etc.).
Excellent communication, storytelling, and executive presence.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Life Sciences, or related field.
Certifications in cloud platforms (Azure, GCP, AWS) or AI/ML frameworks.
Experience with platforms like OpenAI, Vertex AI, Azure ML, or similar.
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